You will be using powers of 10 and logs, it is best to make the years smaller numbers. So for the x list, use 40, 45, 50, 55, etc.. to represent the years after 1900.

a.)Use logarithms to transform the data.
b.)Identify the point that may be an outlier. Provide a reason as to why it may be an outlying point.
c.) delete the outlier and write the linear equation (it should be log y-hat = ).
d.) write the exponential form of the regression.

Question

You will be using powers of 10 and logs, it is best to make the years smaller numbers. So for the x list, use 40, 45, 50, 55, etc.. to represent the years after 1900.

a.)Use logarithms to transform the data.
b.)Identify the point that may be an outlier. Provide a reason as to why it may be an outlying point.
c.) delete the outlier and write the linear equation (it should be log y-hat = ).
d.) write the exponential form of the regression.

anonymous · Answer

ALittle help with statistics here!!!?? Logarithms?? please!!

Here is the Chart.

YEAR              VEHICLES             LOG (VEHICLES)
1940              32.4
1945               31
1950               49.2
1955               62.7
1960               73.9
1965               90.4
1970               108.4
1975               132.9
1980               155.8
1985               171.1

PLEASE HELP. i will be very thankful.

anonymous · Answer

"Exponential" can mean x^a or expkx).

Try V = aY^b

log V = log a + b log Y

plot and try to find a straight line 

to fit the data. The dip from 1940 to 1945 is probably due to the end of WW II and a likely outlier.

For some reason the question suggests  log Y-hat = function of V, 
but year should not depend on
vehicles, but vehicles depend on year. Oh, well.