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In problems 25-27, use the technology of your choice to do the following tasks.

(a) Construct and interpret the scatterplot for the data.

(b) Decide whether finding the regression line for the data is reasonable. If so, then also do parts (c) -(f).

(c) Determine and interpret the regression equation.

(d) Make the indicated predictions.

(e) Compute and interpret the correlation coefficient.

(f) Identify potential outliers and influential observations.

From the website part of Sports illustrated cities, we obtain the scores of the first and second rounds of the 2013 U.S. Open Golf tournament. You will find those scores on the WeissStats site. For part (d), predict the second round score of a golfer who got a $72$on the first round.

The$y$intercept of a line has no effect on the steepness of the line.

In Problems 3-5, answer true or false to each statement. Explain your answers.

4. A horizontal line has no slope.

In Exercise 4.10, we give linear equations. For each equation,

a. find the $y$-intercept and slope.

b. determine whether the line slopes upward, slopes downward, or is horizontal, without graphing the equation.

c. use two points to graph the equation.

$y=-0.75x-5$

For Exercises 4.98 - 4.103,

(a) Compute SST, SSR, SSE using formula 4.2 on page 179.

(b) Compute the coefficient of determination, $r^2$.

(c) Determine the percentage of variation in the observed values of the response variable explained by the regression and interpret your answer.

(d) State how useful the regression equation appears to be for making predictions.

Following are the size and price data for the custom homes from Exercise 4.60.

Custom Homes. Following are the size and price data for custom homes from Exercise $4.60$

a. Compute$SST,SSR,SSE$

b. Compute the coefficient of determination

c. Determine the percentage of variation in the observed values of the response variable explained by the regression, and interpret your answer.

d. State how useful the regression equation appears to be for making predictions.

For Exercises 4.98 - 4.103,

(a) Compute SST, SSR, SSE using formula 4.2 on page 179.

(b) Compute the coefficient of determination, $r^2$.

(c) Determine the percentage of variation in the observed values of the response variable explained by the regression and interpret your answer.

(d) State how useful the regression equation appears to be for making predictions.

Following are the data on plant weight and the quantity of volatile emission from Exercise 4.61.

Plant Emissions. Following are the data on plant weight and quantity of volatile emissions from Exercise $4.61$

a. Compute$SST,SSR,SSE$

b. Compute the coefficient of determination

c. Determine the percentage of variation in the observed values of the response variable explained by the regression, and interpret your answer.

d. State how useful the regression equation appears to be for making predictions.

For Exercises 4.98 - 4.103,

(a) Compute SST, SSR, SSE using formula 4.2 on page 179.

(b) Compute the coefficient of determination, $r^2$.

(c) Determine the percentage of variation in the observed values of the response variable explained by the regression and interpret your answer.

(d) State how useful the regression equation appears to be for making predictions.

Following are the data on age and crown-lump length for the fetuses from Exercise 4.62.