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The following computer printout of a correlation table was obtanied. It show a correlation table dealing with the correlation of annual rainfall and other variables.

PEARSON CORRELATION COEFFICENT/PROB>/R?UNDER HO:RHO=O/N=100

Variable A .7504
.0003

Variable B -.6337
.0060

Variable C .1616
.3554

Variable D -.2113
.1799

1. The best regression equation to predict rainfall would be developed using one of the above variables?

2. What decision would be made concerning variables C? (use the .05 level)

_________ reject Ho

_________+_ Fail to reject Ho

give reason for decision:

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Solution Summary

The following computer printout of a correlation table was obtanied. It show a correlation table dealing with the correlation of annual rainfall and other variables.

PEARSON CORRELATION COEFFICENT/PROB>/R?UNDER HO:RHO=O/N=100

Variable A .7504
.0003

Variable B -.6337
.0060

Variable C .1616
.3554

Variable D -.2113
.1799

1. The best regression equation to predict rainfall would be developed using one of the above variables?

2. What decision would be made concerning variables C? (use the .05 level)

_________ reject Ho

_________+_ Fail to reject Ho

give reason for decision:

Solution Preview

See attachment pls.

The following computer printout of a correlation table was obtanied. It show a correlation table dealing with the correlation of annual rainfall and other variables.

PEARSON CORRELATION COEFFICENT/PROB>/R?UNDER HO:RHO=O/N=100

Variable A .7504
.0003

Variable B -.6337
.0060

Variable C ...

Solution provided by:
Changping Wang, MA
Education
  • BSc , Wuhan Univ. China
  • MA, Shandong Univ.
Recent Feedback
  • "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
  • "excellent work"
  • "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
  • "Thank you"
  • "Thank you very much for your valuable time and assistance!"
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