Ask Question
18 March, 22:14

A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars) as a function of size (measured in thousands of square feet) and the number of bedrooms (BR). Part of the regression output is provided below, based on a sample of 20 homes. Some of the information has been omitted. The estimated coefficient for Size is approximately

Variable Coefficients Standard t-Stat

Error

Intercept 13 4.5

Size 2.2 2.1

BR 6.8 2

a. 4.6

b. 1.0

c. 6.6

d. 6.2

+5
Answers (1)
  1. 19 March, 01:17
    0
    estimated coefficient for size = 4.6

    Step-by-step explanation:

    We have given that

    Variable Coefficients Standard Error t-Stat

    Intercept 13 4.5

    Size 2.2 2.1

    BR 6.8 2

    The standard error = 2.2

    T stat = 2.1

    Formula:. t stat = estimated coefficient / standard error

    Estimated coefficient = t stat * standard error

    Estimated coefficient = 2.1*2.2

    =4.62

    ≈4.6

    Thus, estimated coefficient for size = 4.6
Know the Answer?
Not Sure About the Answer?
Get an answer to your question ✅ “A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars) as a function of size (measured in ...” in 📙 Mathematics if there is no answer or all answers are wrong, use a search bar and try to find the answer among similar questions.
Search for Other Answers