Chapter 12: Q.33 (page 717)
How many acres will be left to mow after hours of work?
Short Answer
The number of acres that will be left to mow after hours of work is acres
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Chapter 12: Q.33 (page 717)
How many acres will be left to mow after hours of work?
The number of acres that will be left to mow after hours of work is acres
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Table 12.22 gives the gold medal times for every other Summer Olympics for the women鈥檚 \(100-\)meter freestyle (swimming).

a. Decide which variable should be the independent variable and which should be the dependent variable.
b. Draw a scatter plot of the data.
c. Does it appear from inspection that there is a relationship between the variables? Why or why not?
Graph 鈥測ear鈥 vs. 鈥# flu cases diagnosed.鈥 Do not include pre-1981. Label both axes with words. Scale both axes
If the level of significance is 0.05 and the p-value is 0.04, what conclusion can you draw?
58. Piece-rate systems are widely debated incentive payment plans. In a recent study of loan officer effectiveness, the following piece-rate system was examined:
| of goal reached | 100 | 120 | ||
| Incentive | n/a | with an additional added per percentage point from | with an additional added per percentage point from | with an additional added per percentage point from |
If a loan officer makes of his or her goal, write the linear function that applies based on the incentive plan table. In context, explain the
-intercept and slope.
Ornithologists, scientists who study birds, tag sparrow hawks in \(13\) different colonies to study their population. They gather data for the percent of new sparrow hawks in each colony and the percent of those that have returned from migration.
Percent return:\(74; 66; 81; 52; 73; 62; 52; 45; 62; 46; 60; 46; 38\)
Percent new:\(5; 6; 8; 11; 12; 15; 16; 17; 18; 18; 19; 20; 20\)
a. Enter the data into your calculator and make a scatter plot.
b. Use your calculator鈥檚 regression function to find the equation of the least-squares regression line. Add this to your scatter plot from part a.
c. Explain in words what the slope and y-intercept of the regression line tell us.
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