this is the residual plot for a data set and its regression line. what conclusions can you draw? select all…

this is the residual plot for a data set and its regression line. what conclusions can you draw? select all that apply.\nresidual plot\nthe correlation coefficient is r = 1.\nthe regression line is a good fit for the data.\nthe regression line has a slope of 0.\nthere is one residual with a value of 0.

this is the residual plot for a data set and its regression line. what conclusions can you draw? select all that apply.\nresidual plot\nthe correlation coefficient is r = 1.\nthe regression line is a good fit for the data.\nthe regression line has a slope of 0.\nthere is one residual with a value of 0.

Answer

Brief Explanations:

  1. A correlation coefficient of $r = 1$ indicates a perfect positive - linear relationship. But the residual plot doesn't show a perfect linear pattern, so this is incorrect.
  2. For a regression line to be a good fit, residuals should be randomly scattered around the zero - line. Here, the pattern is not random, so this is incorrect.
  3. If the regression line has a slope of 0, the line is horizontal and there is no linear relationship between variables. The plot doesn't suggest this.
  4. We can see a point on the zero - residual line, so there is one residual with a value of 0. This is correct.

Answer:

There is one residual with a value of 0.