Examlex

Solved

TABLE 13-9
It Is Believed That, the Average Numbers of Hours

question 65

Multiple Choice

TABLE 13-9
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 Excel output from regressing starting salary on number of hours spent studying per day for a sample of 51 students. NOTE: Some of the numbers in the output are purposely erased.
 Regression Statistics  Multiple R 0.8857 R Square 0.7845 Adjusted R Square 0.7801 Standard Error 1.3704 Observations 51\begin{array}{l}\text { Regression Statistics }\\\begin{array} { l c } \hline \text { Multiple R } & 0.8857 \\\text { R Square } & 0.7845 \\\text { Adjusted R Square } & 0.7801 \\\text { Standard Error } & 1.3704 \\\text { Observations } & 51 \\\hline\end{array}\end{array}
 ANOVA \text { ANOVA }
 df  SS  MS  Significance F  Regression 1335.0472335.0473178.3859 Residual 1.8782 Total 50427.0798\begin{array}{llcc}\hline&\text { df }&\text { SS } &\text { MS }&\text {F }&\text { Significance F } \\\text { Regression } & 1 & 335.0472 & 335.0473 & 178.3859 \\\text { Residual } & & & 1.8782 & \\\text { Total } & 50 & 427.0798 & &\end{array}  TABLE 13-9 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 Excel output from regressing starting salary on number of hours spent studying per day for a sample of 51 students. NOTE: Some of the numbers in the output are purposely erased.   \begin{array}{l} \text { Regression Statistics }\\ \begin{array} { l c }  \hline \text { Multiple R } & 0.8857 \\ \text { R Square } & 0.7845 \\ \text { Adjusted R Square } & 0.7801 \\ \text { Standard Error } & 1.3704 \\ \text { Observations } & 51 \\ \hline \end{array} \end{array}    \text { ANOVA }   \begin{array}{llcc} \hline&\text { df }&\text { SS } &\text { MS }&\text {F }&\text { Significance F } \\ \text { Regression } & 1 & 335.0472 & 335.0473 & 178.3859 \\ \text { Residual } & & & 1.8782 & \\ \text { Total } & 50 & 427.0798 & & \end{array}    -Referring to Table 13-9, the 90% confidence interval for the average change in SALARY (in thousands of dollars)  as a result of spending an extra hour per day studying is A)  wider than [-2.70159, -1.08654]. B)  wider than [0.8321927, 1.12697]. C)  narrower than [0.8321927, 1.12697]. D)  narrower than [-2.70159, -1.08654].
-Referring to Table 13-9, the 90% confidence interval for the average change in SALARY (in thousands of dollars) as a result of spending an extra hour per day studying is

Differentiate between Table Design view and Table Datasheet view.
Identify various database objects in Access and their functions.
Recognize the process for creating a database from scratch or using templates.
Understand the utility of different data types and their application in Access.

Definitions:

Defect Rate

The proportion of defective items or errors found in a batch of products, used as a measure of quality in manufacturing processes.

Confidence

A feeling or belief that one can rely on someone or something; firm trust.

Billing Process

The process of issuing invoices to customers for goods or services, tracking the payment status, and managing receivables.

Defect Rate

The percentage of products or services that fail to meet quality standards out of the total produced or delivered.

Related Questions