Chapter 4: Problem 12
Draw two scatterplots, one for which \(r=1\) and a second for which \(r=-1\).
Chapter 4: Problem 12
Draw two scatterplots, one for which \(r=1\) and a second for which \(r=-1\).
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Get started for freeIn a study of the relationship between TV viewing and eating habits, a sample of 548 ethnically diverse students from Massachusetts was followed over a 19 -month period (Pediatrics [2003]: 1321-1326). For each additional hour of television viewed per day, the number of fruit and vegetable servings per day was found to decrease on average by 0.14 serving. a. For this study, what is the response variable? What is the predictor variable? b. Would the least squares regression line for predicting number of servings of fruits and vegetables using number of hours spent watching TV have a positive or negative slope? Justify your choice.
What does it mean when we say that the regression line is the least squares line?
Explain why it can be dangerous to use the least squares regression line to obtain predictions for \(x\) values that are substantially larger or smaller than the \(x\) values in the data set.
For each of the following pairs of variables, indicate whether you would expect a positive correlation, a negative correlation, or a correlation close to \(0 .\) Explain your choice. a. Weight of a car and gas mileage b. Size and selling price of a house c. Height and weight d. Height and number of siblings
An article on the cost of housing in California (San Luis Obispo Tribune, March 30,2001 ) included the following statement: "In Northern California, people from the San Francisco Bay area pushed into the Central Valley, benefiting from home prices that dropped on average \(\$ 4000\) for every mile traveled east of the Bay." If this statement is correct, what is the slope of the least squares regression line, \(\hat{y}=a+b x,\) where \(y=\) house price (in dollars) and \(x=\) distance east of the Bay (in miles)? Justify your answer.
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