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14.107 Shortleaf Pines. The data from Exercise 14.43 for volume, in cubic feet, and diameter at breast height, in inches, of 70 shortleaf pines are on the WeissStats site. Specified value of the predictor variable: 11 inches.

Short Answer

Expert verified

Part a) the assumption for the regression inferences is violated for the variables volume and diameter.

from part (b) to part (f) cannot be calculated.

Step by step solution

01

Step 1:Given information

The data from Exercise 14.43 for volume, in cubic feet, and diameter at breast height, in inches, of 70 shortleaf pines are on the WeissStats site

02

Step 2:Explaination

Check whether reasonably to apply the conditional mean and predated value t-interval procedure to data by using Exercise 14.43.

- From the residual plot, it is clear that the residuals are fall in the curved concave upward pattern.

- From the normal probability plot of residuals and the residual plot, it is clear that there is presence of outliers appears in the data. Hence, there is more variation in the residual plot than the normal probability plot of residuals.

Hence, the assumption for the regression inferences is violated for the variables volume and diameter.

From part (a), it is clear that the assumptions for the regression inferences are violated. Hence, from part (b) to part (f) cannot be calculated.

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Most popular questions from this chapter

14.93 Corvette Prices. Following are the age and price data for Corvettes from Exercise 14.23.

x
6
6
6
2
2
5
4
5
1
4
y
290
280
295
425
384
315
355
328
425
325

a. Obtain a point estimate for the mean price of all 4-year-old Corvettes.

b. Determine a 90% confidence interval for the mean price of all 4-year-old Corvettes.

c. Find the predicted price of a 4-year-old Corvette.
d. Determine a 90% prediction interval for the price of a 4 -year-old Corvette.
e. Draw graphs similar to those in Fig. 14.11 on page 576 , showing
f. Why is the prediction interval wider than the confidence interval?

14.75 High and Low Temperature. The data from Exercise 14.39for average high and low temperatures in January for a random sample of 50cities are on the WeissStats site.

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

b. Decide, at the 5%significance level, whether the data provide sufficient evidence to conclude that the predictor variable is useful for predicting the response variable.

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 this Exercise 14.54, we repeat the information from Exercise 14.18.

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.

role="math" localid="1652363608630" x1344y8031 y^=9-2x

14.25 Plant Emissions. Plants emit gases that trigger the ripening of fruit, attract pollinators, and cue other physiological responses. N. Agelopolous et al. examined factors that affect the emission of volatile compounds by the potato plant Solanum tuberosum and published their findings in the paper "Factors Affecting Volatile Emissions of Intact Potato Plants, Solanum tuberosum: Variability of Quantities and Stability of Ratios" (Journal of Chemical Ecology, Vol. 26(2), pp. 497-511). The volatile compounds analyzed were hydrocarbons used by other plants and animals. Following are data on plant weight (x), in grams, and quantity of volatile compounds emitted (y), in hundreds of nanograms, for 11 potato plants.

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