1. the technology company, apple, spends money each year on the research and development of its products…

1. the technology company, apple, spends money each year on the research and development of its products. the scatter - plot shows the relationship between the number of years since 2009 and the total amount spent on research and development, in millions of dollars. a. based on the scatterplot, do you think a linear regression model is appropriate? explain. b. describe the relationship between the number of years since 2009 and the total amount spent on research and development, in millions of dollars.

1. the technology company, apple, spends money each year on the research and development of its products. the scatter - plot shows the relationship between the number of years since 2009 and the total amount spent on research and development, in millions of dollars. a. based on the scatterplot, do you think a linear regression model is appropriate? explain. b. describe the relationship between the number of years since 2009 and the total amount spent on research and development, in millions of dollars.

Answer

Explanation:

Step1: Analyze linear - fit suitability

A linear regression model is appropriate when the data points in a scatter - plot roughly follow a straight - line pattern. Looking at the scatter - plot, the points do not form a clear straight - line pattern. They seem to follow a curve. So, a linear regression model is not appropriate.

Step2: Describe relationship

As the number of years since 2009 increases, the total amount spent on research and development in millions of dollars also increases. The relationship appears to be non - linear, with the rate of increase in R&D spending accelerating over time.

Answer:

a. No. The points in the scatter - plot do not form a clear straight - line pattern; they seem to follow a curve. b. As the number of years since 2009 increases, the total amount spent on research and development in millions of dollars increases in a non - linear fashion, with the rate of increase accelerating over time.