Below is a table of data listing the solid waste disposed by county in Oregon
Solid Waste Disposed in 1998 by
Watershed in the State of Oregon
Watershed Population Disposed
(people) (tons)
Baker 16,700 12,376
Benton 71,860 45,551
Clatsop 34,700 30,716
Columbia 42,300 23,004
Coos 61,400 37,434
Crook 16,650 14,232
Curry 22,000 12,264
Gilliam 2,100 1,320
Grant 8,000 3,174
Harney 7,600 1,794
Hood River 19,500 14,931
Jefferson 8,709 8,709
Josephine 73,000 40,518
Klamath 62,000 62,603
Lake 7,400 6,361
Lincoln 43,200 41,127
Linn 107,090 75,807
Malheur 29,200 20,052
Milton-Freewater 6,500 5,586
Morrow 9,400 5,893
Polk 58,940 36,790
Sherman 1,900 1,092
Tillamook 24,000 15,063
Umatilla 60,600 52,484
Union 24,400 15,610
Wallowa 7,200 4,526
Wasco 22,600 17,997
Wheeler 1,600 359
Yamhill 82,460 68,901
a) Create a scatter plot for this data using population as the explanatory variable.
(8 points)
b) Calculate the correlation coefficient and coefficient of determination. Record those
values below. ( 4 points)
c) Using the scatter plot and value of the correlation coefficient determine the direction,
form, and strength of the relationship between population and solid waste. (4 points)
d) Identify any outliers in this data set. (2 points)
e) Create the least squares regression line (LSRL) for this data set. (4 points)
f) Using the LSRL, predict the amount of solid waste that would be produced by a county
with a population of 75, XXXXXXXXXXpoints)
2. Below is a table that includes the weight (In 1000 lbs) and fuel efficiency (mpg) of
several popular vehicles.
Vehicle
Weight
(1000 lbs)
Fuel
Efficiency
(mpg)
Chevrolet Camaro XXXXXXXXXX
Dodge Neon 2.6 32
Honda Accord XXXXXXXXXX
Lincoln Continental XXXXXXXXXX
Oldsmobile Aurora XXXXXXXXXX
Pontiac Grand Am XXXXXXXXXX
Mitsubishi Eclipse XXXXXXXXXX
BMW 3-Series XXXXXXXXXX
Honda Civic XXXXXXXXXX
Toyota Camry XXXXXXXXXX
Hyundai Accent XXXXXXXXXX
Mazda Protégé 2.5 34
Cadillac DeVille XXXXXXXXXX
a) Create a scatter plot for this data using weight as the explanatory variable.
(8 points)
b) Calculate the correlation coefficient and coefficient of determination. Record those
values below. ( 4 points)
c) Using the scatter plot and value of the correlation coefficient determine the direction,
form, and strength of the relationship between weight and fuel efficiency. (4 points)
d) Identify any outliers in this data set. (2 points)
e) Create the least squares regression line (LSRL) for this data set. (4 points)
f) Using the LSRL, predict the fuel efficiency of a vehicle with a weight of 2500 lbs .
(3 points)