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Instruction 12-9
It is believed that,the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY,measured in thousands of dollars per month) after graduation.Given below is the Microsoft Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51 students.NOTE: Only partial output is shown.
ANOVA
Note: 2.051E-05 = 2.051 * 10-0.5 and 5.944E-18 = 5.944 * 10-18.
-Referring to Instruction 12-9,the p-value of the measured F test statistic to test whether HOURS affects SALARY is
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Q32: Referring to Instruction 14-12,the fitted exponential trend
Q102: Referring to Instruction 12-4,the total sum of
Q118: The Y-intercept (b<sub>0</sub>)represents the<br>A)predicted value of Y.<br>B)change
Q126: Referring to Instruction 10-2,the researcher was attempting
Q130: Referring to Instruction 12-7,to test whether the
Q131: Referring to Instruction 12-8,the interpretation of the
Q156: Referring to Instruction 10-3,suppose ? = 0.05.Which
Q180: Referring to Instruction 12-11,there is sufficient evidence
Q209: Referring to Instruction 13-8,the total degrees of