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