Question

A researcher is interested in how income impacts the price that people are willing to pay for a car. To examine this, she conducts a simple linear regression. Income and price for the car are both measured in actual $$. Coefficients Unstandardized Coefficients Standardized Coefficients Model B Std. Error Beta 1 Sig. 1 (Constant) 8286.786 1852.256 4.474 .000 Income .564 .074 .873 7.598 .000 a. Dependent Variable: Price 1. What is the research hypothesis? (1pt) 2. Interpret the results in terms of both statistical and substantive significance. (2pts) 3. If someone makes $50,000 per year, what would we expect them to spend on a car? (1pt)

          A researcher is interested in how income impacts the price that people are willing to pay for
a car. To examine this, she conducts a simple linear regression. Income and price for the car
are both measured in actual $$.
Coefficients
Unstandardized Coefficients
Standardized
Coefficients
Model
B
Std. Error
Beta
1
Sig.
1
(Constant)
8286.786
1852.256
4.474
.000
Income
.564
.074
.873
7.598
.000
a. Dependent Variable: Price
1. What is the research hypothesis? (1pt)
2. Interpret the results in terms of both statistical and substantive significance. (2pts)
3. If someone makes $50,000 per year, what would we expect them to spend on a car? (1pt)

A researcher is interested in how income impacts the price that people are willing to pay for
a car. To examine this, she conducts a simple linear regression. Income and price for the car
are both measured in actual
.
Coefficients
Unstandardized Coefficients
Standardized
Coefficients
Model
B
Std. Error
Beta
1
Sig.
1
(Constant)
8286.786
1852.256
4.474
.000
Income
.564
.074
.873
7.598
.000
a. Dependent Variable: Price
1. What is the research hypothesis? (1pt)
2. Interpret the results in terms of both statistical and substantive significance. (2pts)
3. If someone makes 50,000 per year, what would we expect them to spend on a car? (1pt)

Added by Jose Angel V.

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