Sentences with phrase «how change in variables»

Think about the variable (analyze how change in variables affects the depth and values of your project)

You can check for yourself how the changes in variables of coverage influence your vehicle premium, with the help of a bike insurance calculator

Not exact matches

What the conventional scoring process does not do is incorporate the the effects of any changes in macroeconomic variables — things like GDP, inflation, and employment — and how those might alter the cost estimate.

How businesses price and execute business models, whether they be fixed pricing or variable pricing based, are being drastically affected by changes in social buying behaviors, social technologies, and social ecosystems.

Operators are facing four big areas of challenge that Technomic sees as transformative, bound to drive changes in how operators approach business: 1) coping with supply chain challenges, including driver shortages; 2) meeting consumer demand for «food with integrity»; 3) dealing with «regulation nation» where industry - disrupting changes may include a higher minimum wage; and 4) incorporating innovations into operations, including new delivery models, variable pricing, self - ordering systems, and robotics.

variables, including how often you change your baby, what brand of disposables you would have purchased, at what age your baby potty trains, what systems and brands of cloth diapers you buy, whether you use your cloth diapers on more than one baby, whether you wash them at home or in a laundromat, and other factors.

Keep in mind that your exact savings will depend on a dizzying array of variables, including how often you change your baby, what brand of disposables you would have purchased, at what age your baby potty trains, what systems and brands of cloth diapers you buy, whether you use your cloth diapers on more than one baby, whether you wash them at home or in a laundromat, and other factors.

He launched the Village Ecodynamics Project in 2001 to simulate how virtual Pueblo Indian families, living on computer - generated and geographically accurate landscapes, likely would have responded to changes in specific variables like precipitation, population size and resource depletion.

Cornell's plant experts estimate that Carolus could flower in early to mid-August, but there is no prior data with which to predict how it will acclimate to conditions and variables such as rain, changing light, and the risk of severe weather that could disrupt growth or even cause the plant to not fully develop.

Keiluweit, assistant professor in UMass Amherst's School of Earth and Sustainability, says the team's next steps include quantifying the amount of anaerobic microsites in different soil ecosystems and assessing how carbon stabilization in them is affected by variables such as the soil hydrologic regime, which is expected to change dramatically due to climate change.

In general, Antarctic sea ice is much more variable than the Arctic, and scientists are still grappling with how climate change and various natural climate cycles might be interacting to affect sea ice levels there.

Their results showed that changes in key water - stress variables are strongly modified by vegetation physiological effects in response to increased CO2 at the leaf level, illustrating how deeply the physiological effects due to increasing atmospheric CO2 impact the water cycle.

I personally like mine after 24 hours but there are variables that will change the fermenting time of my grains like the amount of grains I have in my jar compared to the amount of milk I am culturing and how warm the room is.

Don't know how much your diet had to do with changes in HDL either... it's often a collection of different variables that causes these changes.

So here's the lesson, the moral of this story: before we assume that low - carbohydrate diets are just one tool in the dietary arsenal against overweight and obesity, and before we assume that everyone is different and that some of us lose weight and keep it off because we eat less fat (and more carbohydrates) and some because we cut carbs (and so eat maybe more fat), we should make an effort to understand the concept of controlling variables and look to see which variables are really changing and by how much.

Learning Objectives You will understand how to: • Delete a sprite and import a new sprite • Draw using the pen feature of Scratch • Use the pen up and pen down feature • Change the colour of the pen • Set the position of the sprite using co-ordinates • Make a sprite appear and disappear using show and hide • Add variables to your program to change the direction of movement • Use the broadcast feature in Scratch to create subroutines • Use subroutines to make the program more efficient and easier to edit • Enable user input to set the number of sides of eachChange the colour of the pen • Set the position of the sprite using co-ordinates • Make a sprite appear and disappear using show and hide • Add variables to your program to change the direction of movement • Use the broadcast feature in Scratch to create subroutines • Use subroutines to make the program more efficient and easier to edit • Enable user input to set the number of sides of eachchange the direction of movement • Use the broadcast feature in Scratch to create subroutines • Use subroutines to make the program more efficient and easier to edit • Enable user input to set the number of sides of each shape

In order to remove the confounding influence of unobserved factors that have an impact on both school spending and student outcomes, we calculate how much spending in a given school district would have been predicted to change due solely to the passage of an SFR, and use that prediction, rather than the spending change the district actually experienced, as our key variablIn order to remove the confounding influence of unobserved factors that have an impact on both school spending and student outcomes, we calculate how much spending in a given school district would have been predicted to change due solely to the passage of an SFR, and use that prediction, rather than the spending change the district actually experienced, as our key variablin a given school district would have been predicted to change due solely to the passage of an SFR, and use that prediction, rather than the spending change the district actually experienced, as our key variable.

Within Part 6 you will learn how to edit string in a wide range of ways using python functions, for example, count elements, replace letters, use variable indexing, titling text and changing the casing.

Measurement of Elasticities: As per our experts who offer the best assignment help, elasticity is all about measuring how responsive one variable is to a change in another variable.

Finally, reducing the original mortgage balance while keeping all other variables the same shows how APR is also affected by changes in the amount of credit you receive.

Variable universal life insurance is going to give you the least amount of flexibility in how much you can change your premiums, but it will also give you the highest cap on how much growth you can get from the cash value.

Sensitivity analysis is used in financial modeling to determine how one variable (the target variable) may be affected by changes in another variable (the input variable).

In some cases, there is a cap on how high or low a variable interest rate can go, but card companies do not have to give you notice that the variable rate will be changing.

This model is important in that it addresses a significant disease and can model how to identify and change human variables to better improve other aspects of the complex relationships that we have with domestic and companion animals.

@ Apu — Those have always been variable in nature, and it doesn't look like they've said how that will change yet.

However, they aren't much good for predictions if you know the underlying system is changing in ways that might possibly affect how your original variables will interact.

What services do storage offer a power system with high variable renewable energy penetrations, and how might the value of these services change in different power system contexts (e.g., moderate versus high variable renewable energy penetrations, large versus small power systems, market and non-market systems)?

I hardly see how one can engage in field proxy studies without knowing how the dependent variables change with the parameter of interest.

«[I] t is not possible to tell how much of the modest recent warming can be ascribed to human influences,» wrote Happer, Koonin and Lindzen, «and there have been no detrimental changes observed in most salient climate variables and projections of future changes are highly uncertain.»

It is also be important to consider that many aspects of the climate are changing, to understand how the future projected changes may influence the characteristics of these events and that these changes will, in general, be regionally variable.

These are useful for investigating and understanding what has happened in the past, and how apparently random changes in one or many variables can cause unpredictable results.

Because the work is based on modeling at a high level to see how species are impacted in their range, it's hard to account for variables that will ultimately make a huge difference for species trying to survive climate change.

The most likely candidate for that climatic variable force that comes to mind is solar variability (because I can think of no other force that can change or reverse in a different trend often enough, and quick enough to account for the historical climatic record) and the primary and secondary effects associated with this solar variability which I feel are a significant player in glacial / inter-glacial cycles, counter climatic trends when taken into consideration with these factors which are, land / ocean arrangements, mean land elevation, mean magnetic field strength of the earth (magnetic excursions), the mean state of the climate (average global temperature), the initial state of the earth's climate (how close to interglacial - glacial threshold condition it is) the state of random terrestrial (violent volcanic eruption, or a random atmospheric circulation / oceanic pattern that feeds upon itself possibly) / extra terrestrial events (super-nova in vicinity of earth or a random impact) along with Milankovitch Cycles.

We also want to understand how the energy flux through the system changes on short time scales, what the causes are for it, and how it influences the variability in the observed variables.

In the past 100 years, there hasn't been a detectable change in how variable the monsoon can bIn the past 100 years, there hasn't been a detectable change in how variable the monsoon can bin how variable the monsoon can be.

Question: how soon (pun intended) will there be an update to GISS Model E to calculate realistic climate projections accounting for the warming due to changes in the variable gravity from the planets that is responsible for climate changes?

Here we use climate projections under alternative mitigation scenarios to show how changes in environmental variables that limit plant growth could impact ecosystems and people.

Using more risk - based approaches which look at extremes and changes in certain climate thresholds may tell us how climate change will affect whole systems rather than individual climate variables and therefore, aid in decision making.

The skill set seems to be keeping a lot of variables in mind and working with how a change in the boundaries of a problem changes how the different pieces can relate to each other.

Before moving on to how this analysis can be used for pricing there is the obvious caveat: The allocation of expenses between fixed and variable is an important exercise and not a simple one as some expenses will be seen as both fixed and variable — e.g. associates and staff salaries — because they can't always move on a timely basis with changes in revenue.

But you can also see how over time this variable changes when run against that variable for all the countries for which there is data or just for those countries in which you're interested.

Variable universal life insurance is going to give you the least amount of flexibility in how much you can change your premiums, but it will also give you the highest cap on how much growth you can get from the cash value.

In other words, by following these two types of relationships over time, they could actually test how variables like communication change after people start living together.

While these two variables — how much the interest rate will change and over what period of time — remain uncertain in each cycle, what is absolutely certain is that interest rates will rise and drop over time as the interest rate cycle completes itself.

We're measuring how changes in one variable affect changes in a second variable.