subject
Mathematics, 12.12.2019 04:31 mariaaaaa69

Aregression equation that predicts the price of homes in thousands of dollars is t = 24.6 + 0.055x1 - 3.6x2, where x2 is a dummy variable that represents whether the house in on a busy street or not. here x2 = 1 means the house is on a busy street and x2 = 0 means it is not. based on this information, which of the following statements is true? and why?

a) on average, homes that are on busy streets are worth $3600 less than homes that are not on busy streets.

b) on average, homes that are on busy streets are worth $3.6 more than homes that are not on busy streets.

c) on average, homes that are on busy streets are worth $3.6 less than homes that are not on busy streets.

d) on average, homes that are on busy streets are worth $3600 more than homes that are not on busy streets.

ansver
Answers: 2

Another question on Mathematics

question
Mathematics, 21.06.2019 15:00
Ascatterplot is produced to compare the size of a school building to the number of students at that school who play an instrument. there are 12 data points, each representing a different school. the points are widely dispersed on the scatterplot without a pattern of grouping. which statement could be true
Answers: 1
question
Mathematics, 21.06.2019 17:30
Ineeeeed this is due tomorrow and i dont know the answer can you find all the exponents
Answers: 1
question
Mathematics, 21.06.2019 21:20
An office supply company conducted a survey before marketing a new paper shredder designed for home use. in the survey, 80 % of the people who tried the shredder were satisfied with it. because of this high satisfaction rate, the company decided to market the new shredder. assume that 80 % of all people are satisfied with this shredder. during a certain month, 100 customers bought this shredder. find the probability that of these 100 customers, the number who are satisfied is 69 or fewer.
Answers: 2
question
Mathematics, 21.06.2019 23:10
Proportions in triangles solve for x
Answers: 3
You know the right answer?
Aregression equation that predicts the price of homes in thousands of dollars is t = 24.6 + 0.055x1...
Questions
question
Mathematics, 16.03.2020 19:38
Questions on the website: 13722367