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.

1. 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