The following gives the number of accidents that occured on Floridaq State highway 101 during the last 4 months"                             month       jan   feb  mar  apr                      # of accidents   30     45   60    95 Using the least-squares regression method the trend equation for forecasting is (round your responses to two decimal places): ^Y=[__]+[___]X

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The following gives the number of accidents that occured on Floridaq State highway 101 during the last 4 months"

                            month       jan   feb  mar  apr

                     # of accidents   30     45   60    95

Using the least-squares regression method the trend equation for forecasting is (round your responses to two decimal places):

^Y=[__]+[___]X 

 

Expert Solution
Step 1

Let the linear trend equation using the least-squares method be

    Y = A + BX

   where Y => No. of accidents

             X => time in months

            A => y-intercept

    &     B => Slope of linear trend line

 Then we have the least-square regression estimates of A & B calculated from the given data as

   

Month X Y  (x - x¯)2 (x - x¯)(y - y¯)
January 1 30 2.25 41.25
February 2 45 0.25 6.25
March 3 60 0.25 1.25
April 4 95 2.25 56.25
Total 10 230 5 105

       x¯=1nixi=14×10 = 2.5y¯=1niyi=14×230 = 57.5

Then

     B^=i(xi-x¯)(yi-y¯)i(xi-x¯)2=1055=21A^=y¯-B^x¯ =57.5 - 21×2.5 = 5

 

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