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Sagot :
Explanation
We define the variables:
• x = time spent texting (in hours),
,• y_O = observed time spent exercising (in hours),
,• y_P = predicted time spent exercising (in hours).
,• r = residual (in hours) = y_O - y_P.
From the statement, we have the following equation for the line of best fit:
[tex]y_P=-0.4x+6.96.[/tex]1) For x = 4.0 we have:
• y_O = 4.50 (from the table),
,• y_P = 5.36 (by using the formula),
,• r = 4.50 - 5.36 = 0.86.
2) For x = 5.0 we have:
• y_O = 6.50 (from the table),
,• y_P = 4.96 (by using the formula),
,• r = 6.50 - 4.96 = 1.54.
Answer1) For x = 4.0 we have: y_O = 4.50, y_P = 5.36, r = -0.86
2) For x = 5.0 we have: y_O = 6.50, y_P = 4.96, r = 1.54
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