Solve the problem.Assume that the sales of a certain appliance dealer are approximated by a linear function. Suppose that sales were $14,500 in 1982 and $65,500 in 1987. Let x = 0 represent 1982. Find the equation giving yearly sales S.
A. S = 51,000x + 14,500
B. S = 10,200x + 65,500
C. S = 10,200x + 14,500
D. S = 51,000x + 65,500
Answer: C
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The table below shows the atmospheric pressure P, in grams per square centimeter, at an altitude of h kilometers. h 5 10 15 20 25 P 576 324 176 104 59? A: Use exponential regression to model atmospheric pressure as a function of altitude. Round your answer to two decimal places.B: Plot the exponential model along with the data points.C: According to the exponential model, what is the percentage decrease in atmospheric pressure for each one-kilometer increase in altitude? Round your answer to two decimal places.
What will be an ideal response?
Provide an appropriate response.Evaluate: 
+ (0.6813)(5.87). Round to hundredths.
Fill in the blank(s) with the appropriate word(s).
Write the decimal number that represents the shaded part. 
A. 2.125 B. 2.75 C. 2.25 D. 9.4
Solve the problem.The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test. By using linear regression, the following function is obtained: 
where x is number of hours studied and y is score on the test. Use this function to predict the score on the test of a student who studies 13 hours. 
A. 86.8 B. 76.2 C. 86.2 D. 81.2