Which statements below about least-squares regression are correct? i. switching the explanatory and response variables will not change the least-squares regression line. ii. the slope of the line is very sensitive to outliers with large residuals. iii. a value of r2 closa. only i is correct. b. only ii is correct. c. only iii is correct. d. both ii and iii are correct. e. all three statements-i, ii, and iii are correct.

D. Both II and III are correct

Step-by-step explanation:

The least squares regression analysis is mostly used to estimate the best fit for a given set of data by minimizing the variation in the values of the offsets. For example, in an experimental data where there are independent and dependent variable, the least square regression analysis can be used to determine the effects of the change in the dependent variable on the independent variable.

idk

step-by-step explanation:

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$450.00 for 6 weeks

or

$300

step-by-step explanation:

$200.00 for first week $50.00 x5 equals $250 plus $200 equals $450.00 for six weeks.

$200 for first week

$200 x 0.10 = $20

$20 x 5 = $100

$200 + $100 = $300