I have been assigned to take the data and arrange it in the order I .pdf

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The document provides instructions to take an original data set as a dependent variable and regress it against a time series set of 1 to N as the independent variable. The results show the equation for the regression line is Y=X+165.5, with the time series as X and original data as Y.

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I have been assigned to take the data and arrange it in the order I collected it
(11,12,12,9,8.5,9.5,8.5,11,10,9,16,12,10,12,14). Count the total number of observations you
have, and label this number N. Then create another set of data starting from one and increasing
by one until you reach N (1,2,3,4,5,6,7,8,9,10,11,12,13,14,15). This set of data is called a time
series. Runa regression using the original set of data as the dependent variable, and your time
series as an independent variable. What are the results and any conclusions that can be reached
by the results?
Solution
total number of observations(N):15 dependent
variabl(x)=11,12,12,9,8.5,9.5,8.5,11,10,9,16,12,10,12,14 independent
variable(y)=1,2,3,4,5,6,7,8,9,10,11,12,13,14,15 The equation for a straight line is usually written
as: Y = bX + a where b = slope of the line = (Y2 - Y1) / (X2 - X1) = “the rise” divided by “the
run” and a = the Y-intercept = the value of Y when X = 0 Y=X+165.5

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