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An online retailer is trying to determine how positive reviews of items affect sales. The plot below shows the relationship between the number of positive reviews and the number of items sold. The linear regression output is shown below.
R=
What is the correlation between number of positive reviews and number of items sold?

The correlation between the number of positive reviews and the number of items sold is represented by the **Multiple R** in the regression output. 

In the image you uploaded, the **Multiple R** is 0.968133, which indicates a **strong positive correlation** between the number of positive reviews and the number of items sold. A correlation coefficient close to 1, as seen here, suggests a very strong linear relationship between these two variables.

Do you have any questions or need further clarification?

Here are five related questions:
1. How can we interpret the **R Square** value in this context?
2. What is the significance of the **Adjusted R Square** in regression analysis?
3. How does the **Standard Error** impact the reliability of the regression model?
4. Why is the **Multiple R** considered a measure of correlation?
5. What does the **number of observations** (30) tell us about the sample size?

**Tip**: In a regression analysis, the **Multiple R** is the absolute value of the Pearson correlation coefficient when there's only one predictor. It shows how well the data points fit a straight line.

An online retailer is trying to determine how positive reviews of items affect sales. The plot below shows the relationship between the number of positive reviews and the number of items sold. The linear regression output is shown below. What is the correlation between number of positive reviews and number of items sold?

Learn how positive reviews impact the number of items sold using linear regression analysis. The analysis shows a strong positive correlation (Multiple R = 0.968133) between the number of reviews and sales, with an R Square value of 0.937282, indicating a high degree of fit. Suitable for students in Grades 10-12.

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