Coefficient of Correlation, etc.
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Use the data provided. (Also see attachment.)
a. Plot the data; determine the least-squares line for the data and overlay it on the plot.
b. Test the hypothesis (at ? = 0.05) that X contributes no information for predicting Y. What are your conclusions?
c. Find a 95% confidence interval for ?1.
d. Determine the coefficient of correlation.
e. Determine the coefficient of determination for the model from part a.
f. Find a 99% prediction interval for Y given X of 200.
g. Estimate the mean Y when X is 200. Use a 99% confidence interval.
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Solution Summary
The coefficient of correlation are determined.
Solution Preview
Use the data provided.
a. Plot the data; determine the least-squares line for the data and overlay it on the plot.
b. Test the hypothesis (at ? = 0.05) that X contributes no information for predicting Y. What are your conclusions?
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.99666
R Square 0.993332
Adjusted R Square 0.993042
Standard Error 2.286472
Observations 25
ANOVA
df SS MS F Significance F
Regression 1 17911.98 17911.98 3426.193 1.56E-26
Residual 23 120.243 5.227955
Total 24 18032.23
Coefficients Standard Error t Stat P-value Lower 95% Upper ...
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