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Corvette Prices. The Kelley Blue Book provides information on wholesale and retail prices of cars. Following are age and price data for 10randomly selected Corvettes between 1and 6years old.

Here, xdenotes age, in years, and ydenotes price, in hundreds of dollars.

Short Answer

Expert verified

The residuals are nearly centred and symmetric about the x-axis in a horizontal band. The normal probability plot for the residuals can likewise be described as (almost) linear, however, the deviation from linearity is significant enough to cause worry.

Step by step solution

01

Given information

The given data is

02

Explanation

Regression-inference assumptions that are met 1-3necessitates the existence of constants β0,β1,σ, such that the prices of all Corvettes of that age are normally distributed with mean β0,β1and standard deviation σfor each age x.

As a result, the residuals are nearly centred and symmetric about the x-axis in a horizontal band. The normal probability plot for the residuals can likewise be described as (almost) linear, however the deviation from linearity is significant enough to cause worry.

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Most popular questions from this chapter

Corvette Prices. Use the age and price data for Corvettes from Exercise 14.23.

a. compute the standard error of the estimate and interpret your answer

b. interpret your result from part (a) if the assumptions for regression inferences hold.

c. obtain a residual plot and a normal probability plot of the residuals.

d. decide whether you can reasonably consider Assumptions 1-3 for regression inferences to be met by the variables under consideration. (The answer here is subjective, especially in view of the extremely small sample sizes.)

In Exercises 14.98-14.108, use the technology of your choice to do the following tasks.
a. Decide whether your can reasonably apply the conditional mean and predicted value t-interval procedures to the data. If so, then also do parts (b)-(h).
b. Determine and interpret a point estimate for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
c. Find and interpret a 95% confidence interval for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
d. Determine and interpret the predicted value of the response variable corresponding to the specified value of the predictor variable.
e. Find and interpret a 95% prediction interval for the value of the response variable corresponding to the specified value of the predictor variable.
f. Compare and discuss the differences between the confidence interval that you obtained in part (c) and the prediction interval that you obtained in part (e).

14.101 Acreage and Value. The data from Exercise 14.37for lot size (in acres) and assessed value (in thousands of dollars) of a sample of homes in a particular area are on the WeissStats site. Specified value of the predictor variable: 2.5 acres.

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

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

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

y=1.75+0.25x

To find and interpret a confidence interval, at the specified confidence level 99%for the slope of the population regression line that relates the response variables to the predictor variable.

State the four conditions required for making regression inferences.

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