Question

For which data set is a linear regression most reasonable? A. A set of nine data pairs with a correlation coefficient r = –0.4 B. A set of five data pairs with a correlation coefficient r = 0.3 C. A set of four data pairs with a correlation coefficient r = –0.8 D. A set of six data pairs with a correlation coefficient r = 0.6

Answer 1

Answer:

Set of four data pairs with correlation coefficient r= -0.8 reasonable linear regression data set.

Step-by-step explanation:

Linear regression is a primary type of predictive analysis. It describes does a variable does a useful job. Which variable is significant.

Set of nine data pairs with correlation coefficient r = -0.4

Set of five data pairs with correlation coefficient r= 0.3

Set of four data pairs with correlation coefficient r= -0.8

Setoff six data pairs with correlation coefficient r = 0.6

A setoff four data pair with correlation coefficient r = -0.8 is the valid data set.

Because

r = -0.8

r2 = 0.64,

This is very close to 1 as compared to any other data pair.

Hence, Set of four data pairs with correlation coefficient r= -0.8 reasonable linear regression data set.

Answer 2

Answer:

c

Step-by-step explanation:

The graph displays the relationship between the length of time an employee works at a company and the number of the employee’s monthly customers.

If the equation for the line of best fit is y = 4.5x + 2, which of the following can be used to interpret the y-intercept in context?

Employee training takes 2 months.

Employee training takes 4.5 months.

Employees are likely to bring 2 customers with them when changing jobs.

Employees are likely to bring 4.5 customers with them when changing jobs.