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If the below data represent the number of days? absent, x, and the final exam? score, y, for a sample of college students in a general education course at a large state university, how would I find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable and then interpret the slope and the? y-intercept, if appropriate and then predict the final exam score for a student who misses five class periods, ^y = __, and the residual?
# of absences x 0 1 2 3 4 5 6 7 8 9
Final exam score y 88.6 85.8 82.7 80.8 77.8 74.3 63.5 70.8 64.8 65.8
identifies the cost of computer components to configure a computer system (including all peripheral devices where needed) for use in one of the following four situations:
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