6. the scatterplot shows the average gestational period (days) and average lifespan (years) for 20 different…

6. the scatterplot shows the average gestational period (days) and average lifespan (years) for 20 different mammals. a table shows computer output from a linear regression analysis of the data.\npredictor coef se coef t p\nconstant 6.896 5.722 1.205 0.244\ngestational period 0.099 0.021 4.713 < 0.001\ns = 15.282 r - sq = 55.2% r - sq(adj) = 52.8%\na. describe the relationship between the average gestational period and the average lifespan.\nb. identify and interpret the slope of the regression line.

6. the scatterplot shows the average gestational period (days) and average lifespan (years) for 20 different mammals. a table shows computer output from a linear regression analysis of the data.\npredictor coef se coef t p\nconstant 6.896 5.722 1.205 0.244\ngestational period 0.099 0.021 4.713 < 0.001\ns = 15.282 r - sq = 55.2% r - sq(adj) = 52.8%\na. describe the relationship between the average gestational period and the average lifespan.\nb. identify and interpret the slope of the regression line.

Answer

Explanation:

Step1: Analyze scatter - plot and regression output

The scatter - plot shows a positive direction of points and the coefficient of the gestational period in the regression output is positive (0.099). Also, the R - Sq value of 55.2% indicates a moderate linear relationship.

Step2: Interpret slope

The slope of the regression line is 0.099. It means that for every one - day increase in the average gestational period, the average lifespan increases by 0.099 years.

Answer:

a. There is a moderate positive linear relationship between the average gestational period and the average lifespan. b. The slope of the regression line is 0.099. Interpretation: For every one - day increase in the average gestational period, the average lifespan increases by 0.099 years.