Will mark brainliest! this list shows the annual high values of the dow jones industrial average for 10 years beginning with 1985. find an exponential regression equation, and use it to predict the average for 1996. code 1 for 1985, 2 for 1986, and so on. 1553 1956 2722 2184 2791 3000 3169 3413 3794 3978 y = 1.098 (1644.245x); 9,463 y = 1644.245(1.098x); 4,598 y = 1644.245(1.098x); 5,049 y = 1.098 (1644.245x); 2,159

y = 1644.245(1.098x); 4,598

A suitable graphing calculator (or spreadsheet program) can do this regression for you.

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Comment on doing it by hand

If you're going to do this by hand, you need to work with the logarithms of the values. Then find the line of best fit to those in the usual way.

The equation of the line is best written in point-slope form, with the point being the mean of x (which is 5.5) and the mean of y. The slope is the ratio of the covariance of x and y to the variance of x (which is 8.25). (Here, y refers to the logs of the numbers in your table.)

This equation for a line will give the logarithm of the market value, so will need to be put back into exponential form for comparison to the answer choices.

seems like d

step-by-step explanation:

answer is x<