In: Statistics and Probability
2. Solve using Microsoft Excel: Use the following data to find the equation of the regression line.
X-Bar | 2 | 4 | 5 | 6 |
Y-Bar | 7 | 11 | 13 | 20 |
Solution:
Here, we have to find the regression line for the prediction of the dependent variable y based on the independent variable x. The regression output by using excel is given as below:
Regression Statistics |
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Multiple R |
0.941978738 |
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R Square |
0.887323944 |
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Adjusted R Square |
0.830985915 |
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Standard Error |
2.236067977 |
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Observations |
4 |
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ANOVA |
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df |
SS |
MS |
F |
Significance F |
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Regression |
1 |
78.75 |
78.75 |
15.75 |
0.058021262 |
|
Residual |
2 |
10 |
5 |
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Total |
3 |
88.75 |
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Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
|
Intercept |
0 |
3.401680257 |
0 |
1 |
-14.63624884 |
14.63624884 |
x |
3 |
0.755928946 |
3.968626967 |
0.058021262 |
-0.252499743 |
6.252499743 |
The required regression equation is given as below:
ŷ = 0 + 3*x
ŷ = 3x