Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 10 11 14 7 4 11 7 50 8 12 6.46 12.76 10 7.21 7.71 9.17 6.22 5.44 8.19 6.66 5.47 y 7.22 Create a scatterplot of the data. Choose the correct graph below. OA. 25 20 15 10 5 0 5 10 15 20 25 DRO B. 25- 20 15- 10 53 0- 0 5 10 15 20 25 Find the equation of the regression line. ŷ=0+0x (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed.) Identify a characteristic of the data that is ignored by the regression line. OA. There is an influential point that strongly affects the graph of the regression line. OB. There is no characteristic of the data that is ignored by the regression line. OC. The data has a pattern that is not a straight line. OD. There is no trend in the data. O C. 25 20- 15 10 8000 59 0 5 10 15 20 25 Q O D. 25 20- 15-1 10 5- 8000 0 5 10 15 20 25
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 10 11 14 7 4 11 7 50 8 12 6.46 12.76 10 7.21 7.71 9.17 6.22 5.44 8.19 6.66 5.47 y 7.22 Create a scatterplot of the data. Choose the correct graph below. OA. 25 20 15 10 5 0 5 10 15 20 25 DRO B. 25- 20 15- 10 53 0- 0 5 10 15 20 25 Find the equation of the regression line. ŷ=0+0x (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed.) Identify a characteristic of the data that is ignored by the regression line. OA. There is an influential point that strongly affects the graph of the regression line. OB. There is no characteristic of the data that is ignored by the regression line. OC. The data has a pattern that is not a straight line. OD. There is no trend in the data. O C. 25 20- 15 10 8000 59 0 5 10 15 20 25 Q O D. 25 20- 15-1 10 5- 8000 0 5 10 15 20 25
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.CR: Chapter Review Exercises
Problem 15CR: Life Expectancy The following table shows the average life expectancy, in years, of a child born in...
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Media periodically discuss the issue of heights of winning presidential candidates and heights of their main opponents. The accompanying table lists the heights (cm) from several recent presidential elections. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of .
Transcribed Image Text:Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line.
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(Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed.)
Identify a characteristic of the data that is ignored by the regression line.
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