Question

When performing regression on a real world data set, which of the following does not need to be examined in order to choose the most appropriate model?
1. residuals plot
2. the value of r or R-squared
3. scatter plot
4. the x-intercept

Answer 1

Regression refers to a data modeling technique which is used to analyze the relationship between measured and explanatory variables. The x - intercept of the graph is of no need in evaluating the suitability of a model.

• Residual plots are produced by plotting the difference in the actual and predicted values (residual) against the independent variables. A residual plot is expected to produce a random distribution of points else it is not appropriate if it shows a trend.

• The value of R-squared gives the percentage of variation in the model which is explained by the regression line, hence, the R-squared value is essential in determining the appropriateness of a model.

• A scatter plot is used to graph the trend or relationship between variables, such that one can visualize the pattern or relationship between them.

• The x - intercept is the value at the point where the regression line crosses the x - axis, this value has no significance in model selection, including the value of the y-intercept.

Therefore, the x - intercept is not a metric in determining if a model is appropriate or not for regression analysis.

Learn more : brainly.com/question/18405415