Question

In: Statistics and Probability

It appears that over the past 50 years, the number of farms in the United States...

It appears that over the past 50 years, the number of farms in the United States declined while the average size of farms increased. The following data provided by the U.S. Department of Agriculture show five-year interval data for U.S. farms. Use these data to develop the equation of a regression line to predict the average size of a farm by the number of farms Discuss the slope and y-intercept of the model. Year Number of Farms (millions) Average Size (acres) 1950 5.70 209 1955 4.63 262 1960 3.91 296 1965 3.35 336 1970 2.95 374 1975 2.51 421 1980 2.45 425 1985 2.32 441 1990 2.15 459 1995 2.07 469 2000 2.17 433 2005 2.11 444 2010 2.19 420

Solutions

Expert Solution

(a)

From the given data, the following Table is calculated:

X Y XY X2
5.70 209 1191.3 32.49
4.63 262 1213.06 21.4369
3.91 296 1157.36 15.2881
3.35 336 1125.6 11.2225
2.95 374 1103.3 8.7025
2.51 421 1056.71 6.3001
2.45 425 1041.25 6.0025
2.32 441 1023.12 5.3824
2.15 459 986.85 4.6225
2.07 469 970.83 4.2649
2.17 433 939.61 4.7089
2.11 444 936.84 4.4521
2.19 420 919.8 4.7961
Total = 38.51 4989 13665.63 129.6895

So,

Equation of Regression Line is:

y = 595.03 - 71.316 x

(b)

Slope = - 71.316. For every increase of 1 number of farm, there is decrease of 71.316 in the average size of a farm.

y - intercept = 595.03 is the average size of a farm for no farm at all and so in this case the y intercept is meaningless.


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