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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.

Short Answer

Expert verified

(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.

Step by step solution

01

Part(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

02

Part(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

03

Part(b) Step 1: Given Information  

The given data is

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

04

Part(b) Step 2: Explanation  

SST=SSR+SSE=8+6=14

05

Part(c) Step 1: Given Information 

The given data is

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

06

Part(c) Step 2: Explanation  

r2=SSRSST=814=0.571

07

Part(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.

08

Part(d) Step 2: Explanation 

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

09

Part(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

10

Part(e) Step 2: Explanation 

The regression equation is moderately useful for making predictions.

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