In: Statistics and Probability
Consider the following two variables:
| x | y | 
| 45 | 10 | 
| 23 | 30 | 
| 17 | 48 | 
| 19 | 45 | 
| 41 | 34 | 
| 13 | 27 | 
| 39 | 26 | 
| 37 | 31 | 
| 24 | 38 | 
| 12 | 44 | 
What is the correlation between these two variables? Use Pearson's r, and take your answer to two decimal places.
To what two-tailed critical value of Pearson's r would you compare this? Use the provided tables, assume alpha, = 0.05, and express your answer as an absolute value. Round to two decimal places.
If you were to use x to predict y, what would the unstandardized slope of the regression line be (take your answer to two decimal places)?
If you were to use x to predict y, what would the intercept of the regression line be (take your answer to two decimal places)?
| Answer Key: -0.72|-0.62, 0.63, -0.71|-0.51, 49.59|49.89 | 
can some one plz explain how we get those answers.
| x | y | xy | x2 | y2 | |
| 45 | 10 | 450 | 2025 | 100 | |
| 23 | 30 | 690 | 529 | 900 | |
| 17 | 48 | 816 | 289 | 2304 | |
| 19 | 45 | 855 | 361 | 2025 | |
| 41 | 34 | 1394 | 1681 | 1156 | |
| 13 | 27 | 351 | 169 | 729 | |
| 39 | 26 | 1014 | 1521 | 676 | |
| 37 | 31 | 1147 | 1369 | 961 | |
| 24 | 38 | 912 | 576 | 1444 | |
| 12 | 44 | 528 | 144 | 1936 | |
| 270 | 333 | 8157 | 8664 | 12231 | Sum | 
| 27 | 33.3 | Average | 
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On putting the required value

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On putting the required value

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=33.3 +0.61 *27 = 49.77