Two separate tests are designed to measure a student's ability to solve problems. Several students are randomly selected to take both tests and the results are shown below. Test A (x) 43 65 73 34 99 78 65 Test B (y) 39 60 62 20 85 70 54 n = 7 x values = 457 y values = 390 x-squared values = 32669 y-squared values = 24406 (xy) values = 28186 (r) 0.983 Using a 0.05 level of significance, test the claim that there is a linear correlation between x and y. Ho and H1 The value of r, the test statistic from part 1 above The critical value Your decision to reject Ho or accept Ho Find the linear regression line for this data. m, the slope b, the y-intercept Your regression line written in y = mx + b form, with m and b rounded to three decimal places If a student scored a 53 on Test B, what would his corresponding score be on Test A?
Two separate tests are designed to measure a student's ability to solve problems. Several students are randomly selected to take both tests and the results are shown below.
|
Test A (x) |
43
|
65 |
73 |
34 |
99 |
78 |
65 |
|
Test B (y) |
39 |
60 |
62 |
20 |
85 |
70 |
54 |
n = 7
x values = 457
y values = 390
x-squared values = 32669
y-squared values = 24406
(xy) values = 28186
(r) 0.983
Using a 0.05 level of significance, test the claim that there is a
Ho and H1
The value of r, the test statistic from part 1 above
The critical value
Your decision to reject Ho or accept Ho
Find the linear regression line for this data.
m, the slope
b, the y-intercept
Your regression line written in y = mx + b form, with m and b rounded to three decimal places
If a student scored a 53 on Test B, what would his corresponding score be on Test A?
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