a student fit the function s(t)=0.2t + 14 to the data set below, where s represents the students enrollment, in thousands, at a university t years after 1980 in the rule for the function .

a student fit the function st02t 14 to the data set below where s represents the students enrollment in thousands at a university t years after 1980 in the rule class=

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Given:

The function is s(t)=0.2t+14

The residual is calculated by,

[tex]\text{residual}=\text{actual value- predicted value}[/tex]

Let's calculate the values for function s(t) at t=0,1,2,3,4,5,6,7,8,9.

For t=0,

s(t)=0.2(t)+14

s(0)=0.2(0)+14=14

And residual If you don’t need further explanation on this question, we can end the session. I’d really appreciate you letting me know how I did by rating our session after you exit. Thanks and have a great day!for t=0,

Residual = actual value- predicted value

Residual=14.4-14=0.4

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