In: Statistics and Probability
Let x be the age of a licensed driver in years. Let y be the percentage of all fatal accidents (for a given age) due to failure to yield the right of way. For example, the first data pair states that 5% of all fatal accidents of 37-year-olds are due to failure to yield the right of way.
x | 37 | 47 | 57 | 67 | 77 | 87 |
y | 5 | 8 | 10 | 18 | 29 | 42 |
Complete parts (a) through (e), given Σx = 372,
Σy = 112, Σx2 = 24814,
Σy2 = 3118, Σxy = 8224, and r
≈ 0.955.
(b) Verify the given sums Σx, Σy, Σx2, Σy2, Σxy, and the value of the sample correlation coefficient r. (Round your value for r to three decimal places.)
Σx = | |
Σy = | |
Σx2 = | |
Σy2 = | |
Σxy = | |
r = |
(c) Find x, and y. Then find the equation of the
least-squares line = a + bx. (Round
your answers for x and y to two decimal places.
Round your answers for a and b to three decimal
places.)
x | = | |
y | = | |
= | + x |
(d) Graph the least-squares line. Be sure to plot the point
(x, y) as a point on the line.
(e) Find the value of the coefficient of determination
r2. What percentage of the variation in
y can be explained by the corresponding variation
in x and the least-squares line? What percentage is
unexplained? (Round your answer for r2
to three decimal places. Round your answers for the percentages to
one decimal place.)
r2 = | |
explained | % |
unexplained | % |
(f) Predict the percentage of all fatal accidents due to failing to
yield the right of way for 70-year-olds. (Round your answer to two
decimal places.)
%
b)
Sample Correlation
coefficient (r):
r = 0.955
C)
Calculation:
For Slope:
b = 0.73
For Intercept:
a = 18.67 - 0.73*62.00
a = -26.68
Therefore, the least square regression
line would be,
= -26.68 + 0.73(X)
d)
Scatter Plot:
Coefficient of Determination (r2) = 0.9552 = 0.911 = 91.1%
r2 = 0.911
Explained = 91.1%
Unexplained = 100% - 91.1% = 8.9%
f)
The least square regression line would be,
= -26.68 + 0.73(X)
Put, X = 70
= -26.68 + 0.73*70
= 24.52