THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING:
The below sample data set shows the relationship between two
variables.
x | y |
10 | 8.04 |
8 | 6.95 |
13 | 7.58 |
9 | 8.81 |
11 | 8.33 |
14 | 9.96 |
6 | 7.23 |
4 | 4.26 |
12 | 10.84 |
1. Calculate the value of SSE. The Sum of Squares Error
(SSE) es defined as;
SSE
A. 0.010
B. 28.53
C. 10.48
D. 18.05
2.Compute the value of the coefficient of determination:
A. 2.67
B. 0.63
C. 0.80
D. 3.47
3.The Sum of Squares the Regression (SSR) es defined as;
SSR =
The value of SSR is:
choose one:
A. 18.05
B. 0.010
C. 10.48
D. 28.53
SUMMARY OUTPUT | |||||
Regression Statistics | |||||
Multiple R | 0.795375 | ||||
R Square | 0.632621 | ||||
Adjusted R Square | 0.580138 | ||||
Standard Error | 1.223724 | ||||
Observations | 9 | ||||
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 1 | 18.0507 | 18.0507 | 12.05389 | 0.010379614 |
Residual | 7 | 10.4825 | 1.4975 | ||
Total | 8 | 28.5332 |
From above output Answers are
1. Option (C)
2. Option (B)
3. Option (A)
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING: The below sample data set shows the relationship...
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7. Table 2.1 presents four sets of data prepared by the statistician Frank Anscombe to illustrate the dangers of calculating without first plotting the data. Data Set A 11 146 12 10 8 13 8.04 6.95 7.58 8.81 8.33 9.96 7.24 4.26 10.84 4.82 5.68 Data SetB 10 8 13 11 146 12 9.14 8.14 8.74 8.77 9.26 8.10 6.133.109.13 7.26 4.74 ata Set C 10 8 13 911 14 6 12 7.46...