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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?
Regression Lines It has already been discussed that there are two regression lines and they show mutual relationship between two variable . The regression line Yon X gives th
how can we use measurement error method with eight responses variables (we do not have explanatory variable in the data )?.the data analyse 521 leaves ..
X 110 120 130 120 140 135 155 160 165 155 Y 12 18 20 15 25 30 35 20 25 10
Show how the Normal bin width rule can be modi ed if f is skewed or kurtotic. Examine the eff ect of bimodality. Compare your rules to Doane's (1976) extensions of Sturges' rule.
HOW WOULD YOU INTERPRET THIS PROBABILITY:P(a)=1.05
In recent years a number of calculators are available for doing statistical calculations over and above the usual addition, subtraction, multiplication and division. The fx-82 mode
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solve problems
(a) Average rainfall during the month of January is found to be 58 mm. A Class A pan evaporation recorded an average of 8.12 mm/day near an irrigation reservoir. The average
Theories of Business forecasting
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