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Study Time and Score. An instructor at Arizona State University asked a random sample of eight students to record their study times in a beginning calculus course. She then made a table for total hours studied (x)over 2weeks and test score (y)at the end of the 2weeks. Here are the results.

Short Answer

Expert verified

The regression inference assumptions are graphically displayed in the diagram, and they appear to be met.

Step by step solution

01

Given Information

Given data:

02

Explanation

For satisfying regression inference assumptions 1-3, constants β0, β1, and σare used.

As a result, the test scores of all students in the beginning calculus course who study that amount of hours are normally distributed with mean β0+β1xand standard deviation σfor each total number of hours studied (x).

The diagram is presented below.

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Most popular questions from this chapter

In Exercises 14.48, we repeat the information from Exercises 14.12.

a. Decide, at the 10%significance level, whether the data provide sufficient evidence to conclude that xis useful for predicting y:

b. Find a 90%confidence interval for the slope of the population regression line.

x243y357 role="math" localid="1652276835214" y^=2+x

The figure shows three residual plots and a normal probability plot of residuals. For each part, decide whether the graph suggests a violation of one or more of the assumptions for regression inferences. Explain your answers.

In Exercises 14.48-14.57, we repeat the information from Exercises 14.12-14.21.

a. Deride, at the lore significance level, whether the data provide sufficient evidence to conclude that xis useful for predicting y.

b. Find a localid="1653240248143" 90%confidence interval for the slope of the population regression line.

y=1+2x

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a. Decide whether you can reasonably apply the regression t-test. If so, then also do part (b).

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Following are the data on age of fetuses and length of crown-rump.useα=0.10presuming that the assumption for regression inference are met, decide at the specified significance level whether the data provide sufficient evidence to conclude that the predictor variable is useful for providing the response variable.

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