Chapter 4: Q. 4.103 (page 182)

For Exercises 4.98 - 4.103,
(a) Compute SST, SSR, SSE using formula 4.2 on page 179.
(b) Compute the coefficient of determination, $r^{2}$ .
(c) Determine the percentage of variation in the observed values of the response variable explained by the regression and interpret your answer.
(d) State how useful the regression equation appears to be for making predictions.
Follwing are the study time and score for calculus students from Exercise 4.63.

Short Answer

Expert verified

(a) The values are $S S T = 188; S S R = 112.89; S S E = 75.11$

(b) The coefiicient of variation is $0.60$ .

(d) The regression line appears to be extremely useful.

Step by step solution

Part (a) Step 1. Given Information.

A table of values.

Part (a) Step 2. Construct the table.

Construct the table.

Part (a) Step 3. Compute SST, SSR, SSE.

Find SST, SSR, SSE.

$S S T = \sum_{} y_{i}^{2} - \frac{{(\sum_{} y_{i})}^{2}}{n} = 54638 - \frac{{(660)}^{2}}{8} = 188$

$S S R = \frac{[\sum_{} x_{i} y_{i} - {(\frac{\sum_{} x_{i} \sum_{} y_{i}}{n})}^{2}}{\sum_{} {x_{i}}^{2} - \frac{{(\sum_{} x_{i})}^{2}}{n}} = \frac{{[9519 - \frac{(117) (660)}{8}]}^{2}}{1869 - \frac{{(117)}^{2}}{8}} = 112.89$

$S S E = S S T - S S R = 188 - 112.89 = 75.11$

Part (b) Step 1. FInd the coefficient of determination.

$r^{2} = \frac{S S R}{S S T} = \frac{112.89}{188} = 0.6$

Part (c) Step 1. Find the percentage of variation.

Since the coefficient of variation is 0.60,then60% of the variation in the observed value is explained by the regression.

Part (d) Step 1. Useful for making predictions.

The regression line appears to be extremely useful.

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Short Answer

Step by step solution

Part (a) Step 1. Given Information.

Part (a) Step 2. Construct the table.

Part (a) Step 3. Compute SST, SSR, SSE.

Part (b) Step 1. FInd the coefficient of determination.

Part (c) Step 1. Find the percentage of variation.

Part (d) Step 1. Useful for making predictions.

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