Regression Analysis
Y = Price in $’s for Tracfone service plan
X1 = No. of minutes in plan
X2 = No. of service days in plan
(a) Write the equation in numerical form based on the MegaStat output below.
(b) Evaluate the equation statistically.
(c) Predict the change in the service plan price if the number of minutes increases by 100. (Note: Price is in $’s)
(d) Predict the change in the service plan price if the number of days increases by 100. (Note: Price is in $’s)
(e) Predict the price for a plan which offers 100 minutes and 100 days. (Note: Price is in $’s).
Regression Analysis |
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R² |
0.954 |
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Adjusted R² |
0.944 |
n |
12 |
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R |
0.977 |
k |
2 |
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Std. Error |
13.321 |
Dep. Var. |
Price, $'s |
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Regression output |
confidence interval |
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variables |
coefficients |
std. error |
t (df=9) |
p-value |
95% lower |
95% upper |
Intercept |
20.0000 |
6.8759 |
2.517 |
.0329 |
1.7504 |
32.8590 |
X1, minutes |
0.1000 |
0.0092 |
12.488 |
5.48E-07 |
0.0936 |
0.1350 |
X2, days |
0.0800 |
0.0263 |
2.680 |
.0252 |
0.0110 |
0.1297 |
a & b)
Equation in numerical form is given as
Intercept =20
Regression coefficient for minutes=0.1
Regression coefficient for days =0.08
Regression equation is given as
c)
We have to Predict the change in the service plan price if the number of minutes increases by 100.
Predicted change in service plan will be =0.1(100)=$10
d)
Predict the change in the service plan price if the number of days increases by 100. will be
=0.08(100)=$8
e)
Predict the price for a plan which offers 100 minutes and 100 days
Regression equation is given as
Put minutes=100 & days=100
Predicted price for a plan which offers 100 minutes and 100 days will be $38
Regression Analysis Y = Price in $’s for Tracfone service plan X1 = No. of minutes...