Q.4.89

Question



y^=1-2x

a. Compute the three sums of square SST,SSR, SSE using defining formulas

b. Verify the regression identity,

c. Compute the coefficient of determination.

d. Determine the percentage of variation in the observed values of the   response variable that is explained by the regression.

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

Step-by-Step Solution

Verified
Answer

(a)

 SST=14SSR=8SSE=6

(b) SST14=14

(c) The coefficient of determination  r2=0.571

(d)  The percentage of variation is 57.1%

(e)  It is moderately  useful  for the regression equation appears to be for making   predictions.


1Part(a) Step 1: Given Information

Given data is


y^=1-2x

we have to compute the three sums of square SST,SSR, SSE using defining formulas 

2Part(a) Step 2: Explanation


The table can be constructed as follows


SST=iyi-y¯2       =14

SSR=iyi-y¯2        =8

SSE=SST-SSR        =14-8        =6

3Part(b) Step 1: Given Information

The given data is

Y^=1-2X we have to Verify the regression identity, SST=SSE+SSR

4Part(b) Step 2: Explanation

SST=SSR+SSE        =8+6        =14

5Part(c) Step 1: Given Information

The given data is

y^=1-2x we have to compute the coefficient of determination. 

6Part(c) Step 2: Explanation

r2=SSRSST   =814   =0.571

7Part(d) Step 1: Given Information

The given data is

y^=1-2x we have to determine the percentage of variation in the observed values of the response variable that is explained by the regression. 

8Part(d) Step 2: Explanation

Because the coefficient of determination is 0.571 the regression can explain57.1% of the variation in observed values. 

9Part(e) Step 1: Given Information

The given data is

y^=1-2x

we have to State how useful the regression equation appears to be for making    predictions 

10Part(e) Step 2: Explanation

The regression equation is moderately useful for making predictions.