https://file.aiquickdraw.com/mathbot/file/1726441867915criiuc0c.jpg

What is the r-value in the following table?

The table you've uploaded shows a correlation matrix for the relationship between two variables: "Advertising Budget (Thousands of Dollars)" and "No. of plays on Radio." The Pearson correlation coefficient (denoted as **r**) is used to measure the strength and direction of a linear relationship between two variables.

In this case, the Pearson **r-value** between the two variables, "Advertising Budget" and "No. of plays on Radio," is **0.102**. This value can be found in the cell at the intersection of the two variables.

Since the r-value is positive and small (0.102), it indicates a weak positive linear relationship between the advertising budget and the number of plays on the radio. However, the significance value (Sig. 2-tailed) is 0.151, which is greater than 0.05, meaning the correlation is not statistically significant at the 95% confidence level.

Would you like more details on interpreting correlation or on the significance levels?

### Related Questions:
1. What is Pearson’s correlation, and how is it used to measure relationships?
2. How do you interpret a correlation of 0.102?
3. What does a significance value of 0.151 indicate?
4. How could the sample size (N = 200) impact the correlation result?
5. What other statistical tests could be used to further analyze the relationship between these variables?

### Tip:
Always check the significance (p-value) when interpreting correlation coefficients to ensure the relationship is meaningful.

Analyze the relationship between Advertising Budget and Number of Radio Plays using Pearson's correlation coefficient. The r-value is 0.102, indicating a weak positive correlation, with a significance of 0.151. This example explains the statistical interpretation of these results.

Math Problem Statement

Solution

Ask a new question for Free

By Image

Math Problem Analysis

Mathematical Concepts

Formulas

Theorems

Suitable Grade Level

Related Recommendation