the table give the number of inner tubes, I, sold in a bike shop between 1985 and 1990. year,t 1985 1986 1987 1988 1989 1990 inner tubes, I 40 56 74 91 113 127 determine which model best fits the data.
im sure there are options .....
yeah a. absolute value b. quadratic c. exponential d. linear.
hmm, the dates all go up in succession, so id say we can move these values to the origin, subtract 40 from all of them and see what we end up with
<my 2cent> Sounds like a statistics problem, make a scatter plot and draw a regression line. Since they are steadily rising I suspect you will get a linear fit. </my 2cent>
regression can take forever .... find the difference between them 40 56 74 91 113 127 ; subtract 40 from all them 0 16 34 51 73 87 ; determine the differences 16 18 17 22 14 ; the differences are the rates of change since the rates of change are fairly constant, id lean towards linear as well
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