Each question work 1 point each
- The
variable being predicted in a regression analysis is called the:
- independent variable.
- dependent variable
- regression variable.
- contingency variable.
- When
the points in a scatter plot cluster closely around the regression line, the
correlation can be said to be:
- weak.
- strong.
- neutral.
- negative.
- The
increase or decrease in Y expected with each unit change in X is
known as:
- The Y-intercept, a
- The error term, e
- The regression coefficient or slope, b
- Proportionate reduction in error, PRE
- If
the intercept (symbolized as either
) = 3 and b1 = 5, a person scoring X = 8 would be predicted to have a Y score of:
- 23
- 39
- 34
- 43
- In
a regression equation, a refers to:
- the amount of change in Y for each unit change in X.
- the amount of change in X for each unit change in Y.
- the X-intercept (point where regression line crosses the X-axis when Y = 0.
- the Y-intercept (point where regression line crosses the Y-axis when X = 0).
- Which
of the following is not a component of the regression equation?
- Y-intercept
- Slope
- error
- standard deviation
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 $$.
- What is the research hypothesis? (1pt)
- Interpret the results in terms of both statistical and substantive significance. (2pts)
- If someone makes $50,000 per year, what would we expect them to spend on a car? (1pt)
