An economist is studying the job market in Denver area neighborhoods. Let x represent the total number of jobs in a given neighborhood, and let y represent the number of entry-level jobs in the same neighborhood.
A sample of six Denver neighborhoods gave the following information (units in hundreds of jobs).
x 14 35 50 28 50 25
y 1 4 5 5 9 3
Complete parts (a) through (e), given Σx = 202, Σy = 27, Σx2 = 7830, Σy2 = 157, Σxy = 1069, and r ≈ 0.837.
(a) I ALREADY COMPLETED THIS QUESTION
(b) I ALREADY COMPLETED THIS QUESTION
(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) For a neighborhood with x = 32 hundred jobs, how many are predicted to be entry level jobs? (Round your answer to two decimal places.) hundred jobs
C)
For slope:
b = 0.16
For Intercept:
a = 4.5 - (0.16*33.67)
a = -0.73
Therefore, the least square regression line would be,
d)
e) Find Coefficient Determination (R2)
R2 = {Correlation coefficient (r)}2 = 0.8372 = 0.701
70.1% of variation can be explained
and remaining, 29.9% of variation be Unexplained.
f)
For a neighbourhood with x = 32 hundred jobs
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