A newspaper published base pay and cash bonus for CEOs of a
A newspaper published base pay and cash bonus for C.E.O.s of a sample of large companies in 2006. A regression was performed to explore the relationship between the two variables.
The regression equation is
Bonus = 418 + 2.85 Pay
Coef
SE Coef
T
P
418
4197
-2.14
0.064
2.854
3.254
0.88
0.406
____ 35. The slope of the regression line for the relationship between all executives\' pay and bonus is
a. 2.85
b. unknown, but almost surely positive
c. unknown, and it could easily be zero or negative
Effects of Fear and Anger on Perceived Risks of Terrorism, published in Psychological Science in March of 2003, reported on a survey taken two months after 9/11. The survey asked 973 Americans to estimate the probability that within the next year they themselves would experience certain unfortunate events; they were also asked to estimate the probability that the average American would experience these events. The events and probabilities are shown in this table, with regression output following.
0.10
0.50
0.10
0.45
0.20
0.50
0.50
0.60
0.50
0.50
0.10
0.40
0.25
0.50
Pearson correlation of Self and Average American = 0.723
The regression equation is
Average American = 0.432 + 0.244 Self
Coef
SE Coef
T
P
0.43196
0.03130
13.80
0.000
0.2436
0.1041
XXXXX
0.066
____ 36. What response value does the best-fitting line predict for an explanatory value of zero?
a. the intercept +0.432
b. the slope +0.244
| Predictor | Coef | SE Coef | T | P |
| Constant | 418 | 4197 | -2.14 | 0.064 |
| Pay | 2.854 | 3.254 | 0.88 | 0.406 |
Solution
35.
The regression equation is
Bonus = 418 + 2.85 Pay
So slope of the regression line is the coefficient of explanatory variable pay. So slope is 2.85. Hence, option a is correct.
--------------------
36.
The regression equation is
Average American = 0.432 + 0.244 Self
Here explanatory variable is Self. Putting self=0 in the above equation gives
Average American = 0.432 + 0.244*0=0.432
This is known as intercept.
Hence, option (a) is correct.


