Reference no: EM131008172
1. 58.4% of the variation in Percent Body Fat can be ac- counted for by the multiple regression model using Height, Age, and Weight as predictors.
2. For a given Height and Weight, an increase of one year in Age is associated with an increase of 0.137% in Body Fat on average.
3. The multiple regression coefficient is interpreted for given values of the other variables. That is, for peo- ple of the same Weight and Age, an increase of one inch of Height is associated with, on average, a decrease of 1.274% in Body Fat. The same cannot be said when looking at people of all Weights and Ages.
Demographics. Following is a data set on various measures of the 50 United States. The Murder rate is per 100,000, HS Graduation rate is in %, Income is per capita income in dollars, Illiteracy rate is per 1000, and Life Expectancy is in years. Find a regression model for Life Expectancy with three predictor variables by trying all four of the possible models.
a) Which model appears to do the best?
b) Would you leave all three predictors in this model?
c) Does this model mean that by changing the levels of the predictors in this equation, we could affect life expectancy in that state? Explain.
d) Be sure to check the conditions for multiple regression. What do you conclude?
How would you code the variables
: a) How would you code the variables? (How many dummy variables do you need? What values would they have?) b) Why does the intern's suggestion make sense?
|
Regression with the indicator variable
: Why does the intern's suggestion make sense? Do you think a regression with the indicator variable for Fall would model down jacket sales better than one without that predictor?
|
Find an image of a pie chart
: Find an image of a Pie Chart or Pie Graph and post this image to the discussion board. Discuss what this graph is telling us about the data
|
Regression predicting calories for burger king foods
: Burger King nutrition. Like many fast-food restaurant chains, Burger King (BK) provides data on the nutrition content of its menu items on its website. Here's a multiple regression predicting calories for Burger King foods from Protein content (g)..
|
Regression model for life expectancy
: Demographics. Following is a data set on various measures of the 50 United States. The Murder rate is per 100,000, HS Graduation rate is in %, Income is per capita income in dollars, Illiteracy rate is per 1000, and Life Expectancy is in years. Fi..
|
Why should each player two trials be on different days
: Describe the design of such an experiment to investigate the effect of inhaling oxygen during the rest period. Why should each player's two trials be on different days? Use Table B at line 140 to decide which players will get oxygen on their ?rst ..
|
Standard null hypothesis for the coefficient of bore
: State and test the standard null hypothesis for the coefficient of Bore. Both of these predictors seem to be linearly related to MSRP. Explain what your result in part a means.
|
Does adding the ?ve-digit postal zip code to an address
: Does adding the ?ve-digit postal zip code to an address really speed up delivery of letters? Does adding the four more digits that make up "zip + 4".
|
Price of beef related to other factors
: 1. Price of beef. How is the price of beef related to other factors? The data in the following table give information on the price of beef (PBE) and the possible explanatory variables: consumption of beef per capita (CBE), retail food price index (..
|