x
|
0.310 |
0.298 |
0.340 |
0.248 |
0.367 |
0.269 |
y
|
2.5 |
7.8 |
4.0 |
8.6 |
3.1 |
11.1 |
(a) Verify that Σx = 1.832, Σy = 37.1, Σx
2 = 0.569058, Σy
2 = 289.87, Σxy = 10.7158, andr ≈ -0.800.
(b) Use a 10% level of significance to test the claim that ? ≠ 0. (Use 2 decimal places.)
Conclusion
Reject the null hypothesis, there is sufficient evidence that ? differs from 0.
Reject the null hypothesis, there is insufficient evidence that ? differs from 0.
Fail to reject the null hypothesis, there is insufficient evidence that ? differs from 0.
Fail to reject the null hypothesis, there is sufficient evidence that ? differs from 0.
(c) Verify that
Se
≈ 2.3343,
a ≈ 25.475, and
b ≈ -63.182.
(d) Find the predicted percentage of strikeouts for a player with anx = 0.33 batting average. (Use 2 decimal places.)
%
(e) Find a 90% confidence interval fory whenx = 0.33. (Use 2 decimal places.)
lower limit |
% |
upper limit |
% |
(f) Use a 10% level of significance to test the claim that ? ≠ 0. (Use 2 decimal places.)
Conclusion
Reject the null hypothesis, there is sufficient evidence that ? differs from 0.
Reject the null hypothesis, there is insufficient evidence that ? differs from
0.
Fail to reject the null hypothesis, there is insufficient evidence that ? differs from 0.
Fail to reject the null hypothesis, there is sufficient evidence that ? differs from 0
(g) Find a 90% confidence interval for ? and interpret its meaning. (Use 2 decimal places.)
Interpretation
For every unit increase in batting average, the percentage strikeouts decreases by an amount that falls outside the confidence interval.
For every unit increase in batting average, the percentage strikeouts increases by an amount that falls within the confidence interval.
For every unit increase in batting average, the percentage strikeouts increases by an amount that falls outside the confidence interval.
For every unit increase in batting average, the percentage strikeouts decreases by an amount that falls within the confidence interval.