Question
Please help me with these questions! I only have an hour. Thank you! Question 6 The decline of salmon fisheries along the Columbia River in
Please help me with these questions! I only have an hour. Thank you!
Question 6
The decline of salmon fisheries along the Columbia River in Oregon has caused great concern among commercial and recreational fishermen. The paper 'Feeding of Predaceous Fishes on Out-Migrating Juvenile Salmonids in John Day Reservoir, Columbia River' (Trans. Amer. Fisheries Soc. (1991: 405-420)) gave the accompanying data on y = maximum size of salmonids consumed by a northern squaw fish (the most abundant salmonid predator) and x = squawfish length, both in mm. Use the following statistics to give the equation of the least squares regression line.
x = 525.150, y = 293.390, sx = 18.795, sy = 14.200, r = 0.9662
a) = 1.279x 89.970
b) = -89.970x + 0.730
c) = 0.730x 89.970
d) = 1.279x + 89.970
e) = 0.730x + 89.970
f) None of the above
Question 7
Suppose that you are given the following results. Find the correlation coefficient of the data.
sx = 1.355, sy = 15.300, b = -9.780
a) -0.433
b) 0.866
c) -0.155
d) -0.866
e) 0.155
f) None of the above
Question 8
Suppose you find that the correlation coefficient for a set of data is 0.830. What is the coefficient of determination and what does it mean?
a) 0.830; This means that 83.0% of the variation of y is explained by the LSRL of y on x.
b) 0.689; This means that 68.9% of the variation of y is explained by the LSRL of y on x.
c) 0.830; This means that we are 83.0% accurate with our prediction of the LSRL equation.
d) 0.689; This means that we are 68.9% accurate with our prediction of the LSRL equation.
e) None of the above
Question 9
Suppose that the LSRL for the appraised value (in thousands of dollars) and number of rooms for houses in East Meadow, New York is = 19.718x + 74.80. Predict the price of a 11 room house (in thousands of dollars).
tbl
a) 291.698
b) 3500.376
c) 407.698
d) 395.698
e) 296.698
f) None of the above
Question 10
Select the equation of the least squares line for the data: (51.00, 1.30), (48.75, 3.25), (52.50, .65), (46.50, 6.50), (45.00, 5.85), (41.25, 8.45), (43.50, 6.50).
a) = 41.407 0.77316x
b) = 37.643 0.77316x
c) = 37.643 0.70287x
d) = 0.70287x 37.643
e) = -37.643 0.70287x
f) None of the above
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