A home appraisal company would like to develop a regression model that would predict the selling price of a house based on the age of the house in years (Age), the living area of the house in square feet (Living Area) and the number of bedrooms (Bedrooms). The given Excel output shows the partially completed regression output from a random sample of homes that have recently sold. Which group of independent variables is significant in this model using alphaαequals=0.05?

Hello the excel output is missing attached is the excel output for the question

Answer : living area and Bedrooms

Step-by-step explanation:

A significant variable is a variable that is vital in the  determination of the outcome of an activity or group of activities, and when the variable is independent is means that other variable does not affect its value or importance.

hence the important independent variable in this question are : Living area (x2) and Bedrooms(x3) because the pvalue < ∝ = 0.05

38.5

step-by-step explanation:

lets say, first number = r

second number = 3r+7

total = 49

(r)+(3r+7)= 49

4r+7 = 49

4r = 42

r = 42/4

r= 10.5

3r+7 = 3(10.5)+7 = 38.5

hope this

b. 1.25 hr

step-by-step explanation:

if you have a constant speed of 60 mph, then you have a ratio between 60 mi. to 1 hr. dividing both sides by 60 we get the ratio

1 mi. to

then mult. both sides by 75 we get the ratio

75 mi. to

simplifying we get

75 mi. to

or 1.25 hr.