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More putting success Refer to your graph from Exercise 4 Describe the relationship between distance from hole and percent of putts made for the sample of professional golfers.

Short Answer

Expert verified

Negative, strong, curved association with no outliers.

Step by step solution

01

Given information

For scatterplot:

Horizontal axis: Distance (ft .)

Vertical axis: Percent made.

02

Explanation

Strength: The dots on the scatterplot are fairly close together in the pattern, and there are no significant deviations from this overall pattern. As a result, strength will be abundant.

Form: There looks to be a bit of curvature in the scatterplot. As a result, the shape will be slightly bent.

Direction: No points in the other scatterplot points significantly vary from the general pattern in the scatterplot. As a result, there are no outliers.

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Most popular questions from this chapter

Age and height A random sample of 195 students was selected from the United Kingdom using the Census At School data selector. The age x (in years) and height y (in centimeters) were recorded for each student. Here is a scatterplot with the least-squares regression line y^=106.1+4.21x. For this model, s = 8.61 and r2 = 0.274.

a. Calculate and interpret the residual for the student who was 141 cm tall at age 10.

b. Interpret the slope of the least-squares regression line.

c. Interpret the value of s.

d. Interpret the value of r2.

Scientists examined the activity level of 7 fish at different temperatures. Fish activity was rated on a scale of 0 (no activity) to 100 (maximal activity). The temperature was measured in degrees Celsius. A computer regression printout and a residual plot are provided. Notice that the horizontal axis on the residual plot is labeled โ€œFitted value,โ€ which means the same thing as โ€œpredicted value.โ€

What is the correlation between temperature and fish activity?

a. 0.95

b. 0.91

c. 0.45

d. โ€“0.91

e. โ€“0.95

You have data for many years on the average price of a barrel of oil and the average retail price of a gallon of unleaded regular gasoline. If you want to see how well the price of oil predicts the price of gas, then you should make a scatterplot with ___________ as the explanatory variable.

a. the price of oil

b. the price of gas

c. the year

d. either oil price or gas price

e. time

a. Is a line an appropriate model to use for these data? Explain how you know.

b. Find the correlation.

c. What is the equation of the least-squares regression line? Define any variables that you

use.

d. Interpret the values of s and r2.

More mess? When Mentos are dropped into a newly opened bottle of Diet

Coke, carbon dioxide is released from the Diet Coke very rapidly, causing the Diet Coke to be expelled from the bottle. To see if using more Mentos causes more Diet Coke to be expelled, Brittany and Allie used twenty-four 2-cup bottles of Diet Coke and randomly assigned each bottle to receive either 2, 3, 4, or 5 Mentos. After waiting for the fizzing to stop, they measured the amount expelled (in cups) by subtracting the amount remaining from the original amount in the bottle.29 Here is some computer output from a regression of y = amount expelled on x = number of Mentos:

a. Is a line an appropriate model to use for these data? Explain how you know.

b. Find the correlation.

c. What is the equation of the least-squares regression line? Define any variables that you use.

d. Interpret the values of s and r2.

More long jumps Refer to Exercise 52. Use technology to create a residual plot. Sketch the residual plot and explain what information it provides.

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