bleh

Ch 3.4- The typical lifespan for various mammal species in captivity (L) in years has been related to average adult weight (W) in kilograms according to the regression equation. ln L = 2.468 + 0.2(lnL) A typical adult Meerkat weighs about 0.9 kilograms. What is the predicted lifespan of a Meerkat in captivity, according to this equation?

11.6 years

Ch 3.5 (visual)- A study examined the relationship between the sepal length and sepal width for two varieties of an exotic tropical plant. Varieties X and O are represented by x's and o's, respectively, in the following scatterplot. Which of the following statements is true?

Considering each variety separately, there is a negative correlation between sepal length and width.

Ch. 3.8- A set of data describes the relationship between the size of annual salary raises and the performance ratings for employees of a certain company. The least squares regression equation is = 1400 + 2000x where y is the raise amount (in dollars) and x is the performance rating. Which of the following statements must be true?

If the mean performance ratings is 1.2, then the mean raise is $3800.

Ch 3.1 (visual)- A scatterplot of 13 different flights from Philadelphia on a particular airline suggests that the relationship between x= distance (miles) and y= air fare (dollars) is roughly linear. The computer summarizes the relationship. Identify and interpret the slope of the least-square regression line.

Slope= 0.0298. The predicted air fare increases by $0.0298 for each additional 1 mile increase in the flight distance.

Ch 3.7 (visual)- A study of the fuel economy for various automobiles plotted the fuel consumption (in litres of gasoline used per 100 kilometers traveled) vs. speed (in kilometers per hour). A least-squares line was fitted to the data. Here is the residual plot from this least-squares fit. What does the residual plot tell you about the linear model?

The residual plot clearly indicates that the relationship between speed and fuel consumption is not linear.

Ch 3.10- Jason is 20 months old and is 80 centimeters tall. What is his residual?

2.47

Ch 3.9- For children between the ages of 18 months and 29 months, there is an approximately linear relationship between the height and age. The relationship can be represented by = 64.93 + 0.63x, where y represents height (in centimeters) and x represents age (in months). Jonathan is 22.5 months old. What is the predicted height?

79.11

Ch 3.3- Mrs. Emerson is studying oak trees and finds that the correlation between x= the ages (measured in years) and y= height (in feet) of a sample of trees is 0.78. Which of the following statements must be true?

If we measure height in meters instead of feet, the correlation would still be 0.78.

Ch 3.6 (visual)- Mr. Beuerle asked the questions in his AP Statistics class to report their overall grade point average and their SAT Math scores. The scatterplot below provides information about his students' data. The dark line is the least-squares regression line for the data, and its equation is y= 410.54 + 67.3x. Which of the following statements about the circled point is true?

Removing this student's data point would decrease the slope of the least-squares line.

Ch 3.2 (visual)- Which of the following best interprets s= 20.7237?

The air fare is typically about $20.7237 away from the air fare predicted by the least-squares regression line with x= flight distance (in miles).