In: Statistics and Probability
Coefficients(a)
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
||
B |
Std. Error |
Beta |
B |
Std. Error |
||
1 |
(Constant) |
26.805 |
3.922 |
6.835 |
.000 |
|
Dividends Per Share Paid |
2.408 |
.328 |
.811 |
7.345 |
.000 |
a Dependent Variable: Price Per Share of Company Stock
Model Summary
Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
1 |
.811(a) |
.658 |
.646 |
9.683 |
a Predictors: (Constant), Dividends Per Share Paid
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a.
Answer: y^ = 26.805 + 2.408*x, where
y^ = predicted price per share of company stock
x = dividents per share paid
b.
If an asset does not pay dividends, what will be the x = 0, then:
Price of the asset
y^ = 26.805 + 2.408*x, where x = 0
y^ = 26.805 + 2.408*0
y^ = $26.805
Answer: $26.805
c.
If an asset pays $3.75 dividends, what will be the x = 0, then:
Price of the asset
y^ = 26.805 + 2.408*3.75
y^ = $35.835
Answer: $35.835
d.
Answer:
Null hypothesis:
dividends per share paid = 0
Alternate hypothesis:
dividends per share paid != 0 ( please note the not
equal to sign)
e.
Critical Z for .01 is +2.5758 ( used the Z table to find the find cumulative of (1- .01/2) because it is essentially a 2 tailed test, so .01 is divided into 2 tails)
Answer: +2.5758
f.
Answer:
Conclusion: Our test-statistic is 2.408 ( check unstandardized coefficient for Dividends per share paid), is is less than 2.5758 ( critical Z calculated in part e above). It is not in critical region hence we fail to reject the null hypothesis,
Divident per Share Paid does not have a statistically significant linear relation with Price per share of company stock