Muti linear regression model problem, Applied Statistics

Muti linear regression model problem

An investigator is studying the relationship between weight (in pounds) and height (in inches) using data from a sample of 126 high school students. A simple linear regression model is used to model the relationship between weight (Y) and height (X). Partial information from the SAS PROC REG output from fitting this model is provided bellow.

a) Please complete the ANOVA table and related results by using the SAS output from PROC MEANS which gives the sample means and the sample standard deviations for the two variables involved.

b) Obtain a 99% prediction interval for the weight of a 15 years-old student who has a height of 68 inches.  Can we use our model to predict the weight of a 54 years-old teacher with a height of 68 inches? Why or why not?

c) Calculate the coefficient of correlation between weight and height. Are they positively or negative correlated?

d) How do you interpret that ? Is the result statistically significant at the 0.05 level?

Posted Date: 3/1/2013 4:41:35 AM | Location : United States







Related Discussions:- Muti linear regression model problem, Assignment Help, Ask Question on Muti linear regression model problem, Get Answer, Expert's Help, Muti linear regression model problem Discussions

Write discussion on Muti linear regression model problem
Your posts are moderated
Related Questions
Test the following claim. Identify the null hypothesis, alternative hypothesis, test statistic, critical value(s), conclusion about the null hypothesis, and final conclusion that

Root Mean Square Deviation The standard deviation is also called the ROOT MEAN SQUARE DEVIATION. This is because it is the ROOT (Step 4) of the MEAN (Step 3) o

Suppose the money supply process is now represented by the following function: where m measures the sensitivity of money supply with respect to the interest rate. (i) Us

Mid year population 440000 Late fatal death          29 No. of live birth           5200 No. of infant death      423 No. of maternal death 89 No. of infant deaths i

prove that coefficient of correlation lies between -1 and+1

Framing of Questionnaire: Questionnaire is a schedule of questions which is sent to the respondents for filling in by them in their own handwriting together the information rel

Regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual

1. Use the concepts of sampling error and z-scores to explain the concept of distribution of sample means. 2. Describe the distribution of sample means shape for samples of n=36

Old Faithful Geyser in Yellowstone National Park derives its names and fame from the regularity (and beauty) of its eruptions. Rangers usually post the predicted times of eruptions

Characteristics of Index Number  On the analysis of various definitions of index number the following may be its characteristics: 1.      Expressed in Number : Index number