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Mathematics 23 Online
OpenStudy (raffle_snaffle):

The accompanying data was read from a graph. The independent variable is SO2 deposition rate (mg/m2/d) and the dependent variable is steel weight loss (g/m2). x 14 18 38 43 45 113 y 260 350 460 500 560 1150 Does the simple linear regression model appear to be reasonable in this situation? Calculate the equation of the estimated regression line. (Round all numerical values to two decimal places.) What is the correlation coefficient r? (Round your answer to three decimal places.)

OpenStudy (raffle_snaffle):

Because the largest x value in the sample greatly exceeds the others, this observation may have been very influential in determining the equation of the line. Delete this observation and recalculate the equation. Does the new equation appear to differ substantially from the original one (you might consider predicted values)?

OpenStudy (raffle_snaffle):

@whpalmer4

OpenStudy (raffle_snaffle):

Yes to the first question.

OpenStudy (raffle_snaffle):

can I solve the next part without using excel?

OpenStudy (raffle_snaffle):

@jdoe0001

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