Question

True or False

1. The correlation coefficient is way to determine if one variable causes another variable to change.

2. A linear model is representation of the linear relationship between two variables.

3. The least squares line, or line of best fit, is the line which minimizes the sum of the individual squares of the residuals.

4. Most linear models do not have any residuals.

5. Regression equations can be used to make predictions. However, the context of the data used should always be provided with the data to enable the best decision making.

Answer 1

1)False (it only tells if they are associated)

2)True

3)true(the least square means that square of residual should be minimum)

4)False

5)true