The following correlations were computed as part of a multiple regression analysis that used education, job, and age to predict income. Income Education Job Age Income 1.000 Education 0.677 1.000 Job 0.173 −0.181 1.000 Age 0.369 0.073 0.689 1.000 Which independent variable has the weakest association with the dependent variable?

Job has the weakest association with the dependent variable income.

Step-by-step explanation:

The correlation coefficient is used to determine the the strength and direction of the relationship between two variables.

It is denoted by r and the value of r ranges from -1.00 to 1.00.

The correlation data provided is as follows:

                    Income    Education    Job     Age

Income         1.000      

Education     0.677        1.000

Job                0.173         -0.181        1.000

Age               0.369        0.073        0.689   1.000

The dependent variable is the income.

And the variables Education, Job and Age are independent variables.

The correlation between Income and Job is 0.173.

This is the lowest correlation coefficient between the dependent and independent variable.

Thus, Job has the weakest association with the dependent variable income.

(d)

step-by-step explanation:

given: the line in the graph passes through points (5,30) and (6,26).

then, the equation of line is:

now, put y=a(n) and x=n,

hence, option d is correct.

step-by-step explanation: