Question

hey so the question is going to be posted, but im going to post a second question. It will have a red marking on it, I was wondering if you could check my work! 😊
part of the first question: The table and scatter plot show the number of years of experience, , and the hourly pay rate, , for each of cashiers in Texas.
The equation of the line of best fit is y= 0.9x+8.13

Answer 1

first one

Answer 2

c :

Answer 3

Second image- it says round to 2 decimal places. So you're on the right track but you need to have 2 decimal places

Answer 4

\(\color{#0cbb34}{\text{Originally Posted by}}\) @AZ
Second image- it says round to 2 decimal places. So you're on the right track but you need to have 2 decimal places
\(\color{#0cbb34}{\text{End of Quote}}\)
yayyyyy!

Answer 5

so do all the math again but don't round the number to the nearest whole number. You need to keep 2 decimal places

(44+17+45+22+40) / 312 * 100

Answer 6

But anyway, for your first question

Did they give you the line of best fit?
(Not sure if there's something you forgot to include in the screenshot)

Unless you're expected to find the line of best fit yourself? Since they say "give exact answers, not rounded approximations"

Answer 7

So for your first question

under the "Observed hourly pay"

you take the numbers from your table so in your table where it says 5.1 and 6.9, those are your values

the next "Predicted hourly pay"
I'm still waiting on you to get back to me if they already provided you with the line of best fit

the final "residual" column is
residual = predicted - observed

so you just subtract the numbers from the other columns