Question: Given the following data set: table [ [ Period ( X ) . , 1 , 2 , 3 , 4 , 5 ,

Given the following data set:
\table[[Period (X).,1,2,3,4,5,6,7,8,9,10,11,12,13,14],[New Accounts (Y),208,215,210,230,237,232,248,250,253,267,280,275,292,308]]
a. Obtain the linear trend equation (first, plot the data and the regression line on the same graph, or alternatively use Data Analysis tool to obtain the "a" and the "b" values of the equation) for the following data on new checking accounts for Fair Savings Bank and use it to predict expected new checking accounts for periods 15 through 20. Enter the data on Excel using Period (x) as Column 1 and New Accounts (Y) in the second column.
b. Determine the correlation coefficient and interpret it.
c. What percentage of variation in new accounts is explained by the independent variable (time)?
 Given the following data set: \table[[Period (X).,1,2,3,4,5,6,7,8,9,10,11,12,13,14],[New Accounts (Y),208,215,210,230,237,232,248,250,253,267,280,275,292,308]] a. Obtain

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