Consider the following data on x = rainfall volume (m³) and y = runoff volume (m3) for a particular location. x|6 12 14 17 23 30 40 47 55 67 2 79 96 112 127 | 4 10 13 14 15 25 27 46 38 46 53 74 82 99 100 Use the accompanying Minitab output to decide whether there is a useful linear relationship between rainfall and runoff. The regression equation is runoff = -1.43 + 0.837 rainfall

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Consider the following data on x = rainfall volume (m³) and y = runoff
volume (m³) for a particular location.
x 6 12 14 17 23 30 40 47 55 67 72 79 96 112 127
y 4 10 13 14 15 25 27 46 38 46 53 74 82 99 100
Use the accompanying Minitab output to decide whether there is a useful
linear relationship between rainfall and runoff.
The regression equation is
runoff = -1.43 + 0.837 rainfall
Predictor
Coef
Stdev
t-ratio
Constant
-1.431
2.601
-0.55
0.591
rainfall
0.83747
0.04021
20.83
0.000
s - 5.741
R-sg = 97.1%
R-sq (adj) - 96.9%
State the appropriate null and alternative hypotheses.
O Ho: P1 = 0
Hạ: B1 # 0
O Hoi Pq = 0
Hạ: B1 < 0
O Ho: Bị + 0
Hạ: ß1 = 0
O Họ: Pz = 0
Hạ: B1 > 0
Compute the test statistic value and find the P-value. (Round your test
statistic to two decimal places and your P-value to three decimal places.)
%3D
P-value =
State the conclusion in the problem context. (Use a = 0.05.)
O Reject Ho. There is a useful linear relationship between runoff and
rainfall at the 0.05 level.
O Reject Ho. There is not a useful linear relationship between runoff and
rainfall at the 0.05 level.
O Fail to reject Ho. There is not a useful linear relationship between runoff
and rainfall at the 0.05 level.
O Fail to reject Ho. There is a useful linear relationship between runoff and
rainfall at the 0.05 level.
Calculate a 95% confidence interval for the true average change in runoff
volume associated with a 1 m3 increase in rainfall volume. (Round your
answers to three decimal places.)
m3
Transcribed Image Text:Consider the following data on x = rainfall volume (m³) and y = runoff volume (m³) for a particular location. x 6 12 14 17 23 30 40 47 55 67 72 79 96 112 127 y 4 10 13 14 15 25 27 46 38 46 53 74 82 99 100 Use the accompanying Minitab output to decide whether there is a useful linear relationship between rainfall and runoff. The regression equation is runoff = -1.43 + 0.837 rainfall Predictor Coef Stdev t-ratio Constant -1.431 2.601 -0.55 0.591 rainfall 0.83747 0.04021 20.83 0.000 s - 5.741 R-sg = 97.1% R-sq (adj) - 96.9% State the appropriate null and alternative hypotheses. O Ho: P1 = 0 Hạ: B1 # 0 O Hoi Pq = 0 Hạ: B1 < 0 O Ho: Bị + 0 Hạ: ß1 = 0 O Họ: Pz = 0 Hạ: B1 > 0 Compute the test statistic value and find the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.) %3D P-value = State the conclusion in the problem context. (Use a = 0.05.) O Reject Ho. There is a useful linear relationship between runoff and rainfall at the 0.05 level. O Reject Ho. There is not a useful linear relationship between runoff and rainfall at the 0.05 level. O Fail to reject Ho. There is not a useful linear relationship between runoff and rainfall at the 0.05 level. O Fail to reject Ho. There is a useful linear relationship between runoff and rainfall at the 0.05 level. Calculate a 95% confidence interval for the true average change in runoff volume associated with a 1 m3 increase in rainfall volume. (Round your answers to three decimal places.) m3
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