To test a linear relation exists between cardiovascular fitness and ski race performance we have to test β1
Null hypothesis H0 : β1 = 0
Alternative hypothesis H1 : β1 ≠ 0
t stat (Treadmill) = -2.5/1.055 = -2.370
P value = 2*P(T > 2.370) = T.DIST.2T(2.370, 8) = 0.045
At 5% significant level, we reject the null hypothesis and conclude that there is sufficient evidence to conclude that there is linear relationship between cardiovascular fitness and ski race performance.
Data on 10 randomly selected athletes was obtained concerning their cardiovascular fitness (measured by time to...
Data on 14 randomly selected athletes was obtained concerning
their cardiovascular fitness (measured by time to exhaustion
running on a treadmill) and performance in a 20-km ski race. Both
variables were measured in minutes and a regression analysis was
performed.
Ski = 89 -2*Treadmill
Coefficients
Estimate
Std. Error
(Intercept)
89
0.38
Treadmill
-2
0.699
Is there sufficient evidence to conclude that there is a linear
relationship between cardiovascular fitness and ski race
performance?
The test statistic is
The p-value is...
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[Marketing]
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Use column 2 (8 Kilometer data).
Only need "f" and "g" please show work, thank
you.
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3. [25 marks] Some female psychology students were investigating
whether intelligence depends on brain size. They each took a
standard test that measured verbal IQ and also underwent an MRI
scan to measure their brain size. The resulting data is below, file
named IQBrain.csv.
IQ
BrainV
132
816.932
132
951.545
90
928.799
136
991.305
90
854.258
129
833.868
120
856.472
100
878.897
71
865.363
132
852.244
112
808.02
129
790.619
86
831.772
90
798.612
83
793.549
126
866.662
126
857.782...