Chapter 12: Q. 12. 7 (page 694)
For a given line of best fit, you computed that using data points and the critical value is . Can the line be used for prediction? Why or why not?
Short Answer
Yes. the line can be used for the prediction because
Chapter 12: Q. 12. 7 (page 694)
For a given line of best fit, you computed that using data points and the critical value is . Can the line be used for prediction? Why or why not?
Yes. the line can be used for the prediction because
All the tools & learning materials you need for study success - in one app.
Get started for freeThe average number of people in a family that attended college for various years is given in Table 12.29.
a. Using “year” as the independent variable and “Number of Family Members Attending College” as the dependent variable, draw a scatter plot of the data.
b. Calculate the least-squares line. Put the equation in the form of: \(\hat{y}=a+bx\)
c. Find the correlation coefficient. Is it significant?
The scatter plot shows the relationship between hours spent studying and exam scores. The line shown is the calculated line of best fit. The correlation coefficient is .
Do there appear to be any outliers?
Due to erosion, a river shoreline is losing several thousand pounds of soil each year. A linear equation that expresses the total amount of soil lost per year is .
How many pounds of soil does the shoreline lose in a year?
When testing the significance of the correlation coefficient, what is the alternative hypothesis?
Does the scatter plot appear linear? Strong or weak? Positive or negative?
What do you think about this solution?
We value your feedback to improve our textbook solutions.