**Your Turn: Data Set 4****Data Set:**\[\{(1, -2.5), (2, -4), (3, -5.5), (4, -6), (5, -6.5), (6, -8), (7, -8.5)\}\]1. **The regression line is:** \[ y = \_\_\_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ x \]2. **Based on the regression line, we would expect the value of the response variable to be \_\_\_ when the explanatory variable is 0.**3. **For each increase of 1 in the explanatory variable, we can expect a(n) \_\_\_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ of \_\_\_ in the response variable.**4. **If $ x = 2.5 $, the $ \hat{y} = \_\_\_ $. This is an example of \_\_\_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_ \_.**5. **The correlation coefficient is $ r = \_\_\_ $.** *(Round to the nearest hundredth.)*[**Check**]

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Answered: Your Turn: Data Set 4 Data Set: {(1,…

A First Course in Probability (10th Edition)

10th Edition

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Chapter1: Combinatorial Analysis

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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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