6 **Linear Correlation in Automobile Data**In an analysis of weights (pounds) and highway fuel consumption amounts (mpg) for eleven types of automobiles, the linear correlation coefficient is calculated, and the P-value is found to be 0.032. To understand the significance of this P-value, consider the following interpretation:**The P-value indicates that the probability of a linear correlation coefficient that is at least as extreme is [insert text box for user input]%, which is [dropdown menu for user selection] so there [dropdown menu for user selection] sufficient evidence to conclude that there is a linear correlation between weight and highway fuel consumption in automobiles. (Type an integer or a decimal. Do not round.)**In this context:- **Insert text box for user input**: Place to enter the computed percentage value derived from the P-value.- **Dropdown menu for user selection**: Options that typically signify the interpretation of the P-value (for example, indicating whether it is less than or greater than a common alpha level like 0.05).- **Dropdown menu for user selection**: Choices indicating whether there is or isn’t sufficient evidence to conclude a linear correlation based on the P-value.This setup allows users to actively engage with the material, fostering a deeper understanding of the interpretation of P-values in correlation analysis.(Note: There are no graphs or diagrams in this image to describe.)

Name: 6 **Linear Correlation in Automobile Data**In an analysis of weights (
Uploaded: 2024-03-20T07:06:41.000Z
Channel: Bartleby
Description: 6 **Linear Correlation in Automobile Data**In an analysis of weights (pounds) and highway fuel consumption amounts (mpg) for eleven types of automobiles, the linear correlation coefficient is calculated, and the P-value is found to be 0.032. To under