# statistics

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An insurance company wishes to examine the relationship between income (in \$,000) and the amount of life insurance (in \$,000) held by families. The company drew a simple random sample of families and obtained the following results:

Family(Income)(Amount of life insurance)
A 50 120
B 80 200
C 100 220
D 80 160
E 80 180
F 120 270
G 70 150
H 100 240
I 60 160
J 90 210

What is the least squares estimates of the slope?

What is the least squares estimate of the Y intercept?

What is the prediction for the amount of life insurance for a family whose income is \$85,000?

What would be the residual (error) term for a family income of \$90,000?

• statistics -

Well, this is regression analysis... Have a look at the wikipedia article.

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