a. compute the three sums of squares, SST,SSR,SSE, using the defining formulas

b. verify the regression identity,SST=SSR+SSE

c. compute the coefficient of determination.

d. determine the percentage of variation in the observed values of the response variable that is required by the regression

e. State how useful the regression equation appears to be for making predictions.

y^=1+2x

Short Answer

Expert verified

(a) SST=14SSR=8SSE=6

(b) The regression identity is verified

(c) 0.571

(d) 57.1%

(e) Moderately effective.

Step by step solution

01

Part (a) Step 1: Given information

The given data is

y^=1+2x

02

Part (a) Step 2: Explanation

The given regression equation is

y^=1+2x

Formulas to calculate the sum of squares is

SST=yi-y¯2SSR=y^i-y¯2SSE=yi-y^2

SST=14SSR=8SSE=6

03

Part (b) Step 1: Given information

The given data is

y^=1+2x

04

Part (b) Step 2: Explanation

From the above answer

SST=SSR+SSE

=8+6=14

Thus verified.

05

Part (c) Step 1: Given information

The given data is

y^=1+2x

06

Part (c) Step 2: Explanation

The formula for the coefficient of determination is

r2=1-SSESSTr2=1-614r2=1-0.429r2=0.571

07

Part (d) Step 1: Given information

The given data is

y^=1+2x

08

Part (d) Step 2: Explanation

The coefficient of determination restated as a percentage is the percentage of variation:

0.571=57.1%

09

Part (e) Step 1: Given information

The given data is

y^=1+2x

10

Part (e) Step 2: Explanation

In this scenario, the regression equation is only somewhat effective in making predictions.

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Most popular questions from this chapter

In the article "Comparison of Fiber Counting by TV Screen and Eyepieces of Phase Contrast Microscopy" (Amer. icon Industrial Hyeiene Asseciution Journal, Vol. 63, Pp. 756-761), 1. Moa et al. reported on determining fiber density by two different methods. Twenty samples of varying fiber density were each counted by 10 viewers by means of an eyepiece method and a television screen method to determine the relationship between the counts done by each method. The results, in fibers per square millimeter, are presented on the Weiss Stats site.

(a). Decide whether use of the linear correlation coefficient as a descriptive measure for the data is appropriate, If so, then also parts (b)and(c).

Answer true or false to each statement, and explain your answers.

a. The graph of a linear equation slopes upward unless the slope is 0 .

b. The value of the y-intercept has no effect on the direction that the graph of a linear equation slopes.

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b. obtain the linear correlation coefficient.

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If ytends to increase linearly as xincreases, the variables are------ linearly correlated.

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