1. Using the following regression output select the correct regression equation.

Question

1. Using the following regression output select the correct regression equation.

Regression Statistics: [Multiple R=0.944744; R Square=0.892542; Intercept=1230.242; Rent=6.666983]:

A. Y = 6.666983 + 1230.242(X)

B. Y = 1230.242 + .6.666983(X)

C. Y = 1230.242 - 0.892542 (X)

D. Y = 1230.242 + 0.944744 (X)

2. Using the following regression output, determine the estimated monthly salary of a man who pays $500 in rent?

Regression Statistics: [Multiple R=0.944744; R Square=0.892542; Intercept=1230.242; Rent=6.666983]:

A. $1,702.614

B. $4,563.73

C. $6,127.67

D. $783.97

3. Using the following regression statistics select which one of the following best represents the relationship between the Height of the employee and their Salary?

Regression Statistics: [Multiple R=0.867597; R Square = 0.752725; Intercept=28.45268; Inches=0.97656]:

A. Strong Direct Relationship

B. Moderate Inverse Relationship

C. Weak Inverse Relationship

D. No Relationship

SHOW WORK PLEASE

Explanation / Answer

a) Regression equation is y = Rent (x) + Intercept

= 6.666983(X) +1230.242

= Option B

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2) If x =500,

y = 6.666983*500+1230.242=4563.734

= Option B

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3) Since R = 0.867597 almost near to 1 and positive

there is a strong positive relation

A. Strong Direct Relationship

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