Solution:
a)
Independent variable (X) = Magnitude of earth quake
Dependent variable (Y) = Depth of quake
b)
Regression line:
Y^ = b+m*X (Single independent variable)
c)
Excel > Data > Data Analysis > Regression
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.026974584 | |||||||
R Square | 0.000727628 | |||||||
Adjusted R Square | -0.054787504 | |||||||
Standard Error | 2.986219457 | |||||||
Observations | 20 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 0.116880366 | 0.116880366 | 0.013106844 | 0.910120618 | |||
Residual | 18 | 160.5151196 | 8.917506646 | |||||
Total | 19 | 160.632 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 7.622721633 | 3.067158648 | 2.485271389 | 0.023000926 | 1.178860429 | 14.06658284 | 1.178860429 | 14.06658284 |
Magnitude (X) | -0.091028322 | 0.795110481 | -0.114485124 | 0.910120618 | -1.761493456 | 1.579436811 | -1.761493456 | 1.579436811 |
Intercept (b) = 7.6227
Slope (m) = -0.0910
Regression equation:
Y^ = 7.6227-0.0910*X
d)
If X = 3.3
Y^ = 7.6227-0.0910*X
Y^ = 7.6227-0.0910*3.3 = 7.3224
e)
Y = 5.3 when X = 3.3
Y^ = 7.3224
Residual = Y-Y^ = 5.3-7.3224 = -2.0224
f)
i)
Hypothesis:
H0: β1 = 0
Ha: β1 not = 0
ii)
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 1 | 0.116880366 | 0.116880366 | 0.013106844 | 0.910120618 |
Residual | 18 | 160.5151196 | 8.917506646 | ||
Total | 19 | 160.632 |
iii)
Fcritical = 4.4139
Rejection region:
If Fstat > Fcritical, reject H0
iv)
Fstat < Fcritical, Do not reject H0
P value = 0.9101 > 0.05, Do not reject H0
There is not enough evidence to conclude that regression model is statistically significant at 5% significance level
Note:
Calculations:
X | Y | X^2 | Y^2 | XY | ||||
3.9 | 8.8 | 15.21 | 77.44 | 34.32 | ||||
4.3 | 10 | 18.49 | 100 | 43 | ||||
3.3 | 11.2 | 10.89 | 125.44 | 36.96 | ||||
4.6 | 9.5 | 21.16 | 90.25 | 43.7 | ||||
3.9 | 12.8 | 15.21 | 163.84 | 49.92 | ||||
3.2 | 3.9 | 10.24 | 15.21 | 12.48 | ||||
3.4 | 5.5 | 11.56 | 30.25 | 18.7 | ||||
4.5 | 7.1 | 20.25 | 50.41 | 31.95 | ||||
5.1 | 8.5 | 26.01 | 72.25 | 43.35 | ||||
2.6 | 7.9 | 6.76 | 62.41 | 20.54 | ||||
3.3 | 5.3 | 10.89 | 28.09 | 17.49 | ||||
3 | 5 | 9 | 25 | 15 | ||||
4.5 | 6.5 | 20.25 | 42.25 | 29.25 | ||||
2.9 | 7.6 | 8.41 | 57.76 | 22.04 | ||||
4.5 | 10 | 20.25 | 100 | 45 | ||||
2.8 | 5 | 7.84 | 25 | 14 | ||||
5.1 | 4 | 26.01 | 16 | 20.4 | ||||
4.7 | 3 | 22.09 | 9 | 14.1 | ||||
3.5 | 3 | 12.25 | 9 | 10.5 | ||||
2.2 | 11 | 4.84 | 121 | 24.2 | ||||
SUM | 75.3 | 145.6 | 297.61 | 1220.6 | 546.9 | |||
n | 20 | |||||||
Mean | 3.765 | 7.28 | ||||||
k | 2 | |||||||
SSxx | 14.1055 | Sum(x^2) - ((Sum(x))^2 /n) | SSR | 0.11688 | slope * Ssxy | MSR | 0.11688 | SSR/k-1 |
Ssyy | 160.632 | Sum(y^2) - ((Sum(y))^2 /n) | SSE | 160.5151 | SST-SSR | MSE | 8.917507 | SSE/n-k |
Ssxy | -1.284 | Sum(xy) - (Sum(x)*Sum(y)/n) | SST | 160.632 | Ssyy | F | 0.013107 | MSR/MSE |
slope | -0.09103 | Ssxy/SSxx | ||||||
intercept | 7.622722 | Mean Y - Mean X * Slope | ||||||
Se | 2.986219 | SQRT(SSE/(n-2)) | ||||||
Sb1 | 0.79511 | Se/SQRT(SSxx) | ||||||
r | -0.02697 | Ssxy/SQRT(SSxx*Ssyy) | ||||||
r^2 | 0.000728 |
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