Consider a logistic regression model for the probability of a "success",given a quantitative variable X. \[\begin{array} { | l | c | } \hline \text { Term } & \text { Estimate } \\ \hline \text { Intercept } & - 4.00 \\ \hline \mathrm { X } & 0.10 \\ \hline \end{array}\] Use the output above to estimate the probability of a success when X = 25.

A) 0.1824 B) 0.8176 C) 0.2019 D) 0.7981 E) 0.2231 A) 0.1824 B) 0.8176 C) 0.2019 D) 0.7981 E) 0.2231 A

The typing speeds (in words per minute)and reading speeds (in words per minute)of nine randomly selected secretaries were recorded.Use the regression analysis and summary statistics provided below to determine a 90% confidence interval for the average reading speed of a secretary whose typing speed is 71. \[\begin{array} { l c l l c } \text { Variable } & \text { Count } & \text { Mean } & \text { StdDev } & \text { Range } \\ \text { Typing speed } & 9 & 60.44444 & 3.3587 & 35 \\ \text { Reading speed } & 9 & 501.8889 & 33.42298 & 297 \end{array}\] Dependent variable is: Reading speed R-squared = 12.385% S = 100.3348 with 9 - 2 = 7 degrees of freedom \[\begin{array} { l l l l l } \text { Variable } & \text { Coefficient } & \text { SE(Coeff) } & \text { t-ratio } & \text { P-value } \\ \text { Constant } & 290.2093 & 215.4116 & 1.347231 & 0.219884 \\ \text { Typing speed } & 3.502052 & 3.520579 & 0.994737 & 0.352998 \end{array}\]

A) 330.4 to 747.3 words per minute B) 444.1 to 633.6 words per minute C) 532.2 to 545.5 words per minute D) 405.9 to 450.9 words per minute E) 326.4 to 751.3 words per minute A) 330.4 to 747.3 words per minute B) 444.1 to 633.6 words per minute C) 532.2 to 545.5 words per minute D) 405.9 to 450.9 words per minute E) 326.4 to 751.3 words per minute

Consider a logistic regression model for the probability of a "success",given a quantitative variable X. \[\begin{array} { | l | c | } \hline \text { Term } & \text { Estimate } \\ \hline \text { Intercept } & - 4.00 \\ \hline \mathrm { X } & 0.10 \\ \hline \end{array}\] Use the output above to estimate the probability of a success when X = 10.

A) 0.0474 B) 0.9526 C) 0.0497 D) 0.3333 E) 0.9503 A) 0.0474 B) 0.9526 C) 0.0497 D) 0.3333 E) 0.9503

The sample data below are the typing speeds (in words per minute)and reading speeds (in words per minute)of nine randomly selected secretaries. \[\begin{array} { c | c } \text { Typing Speed } & \text { Reading Speed } \\ \hline 60 & 370 \\ 56 & 551 \\ 52 & 528 \\ 63 & 348 \\ 70 & 645 \\ 58 & 454 \\ 44 & 503 \\ 79 & 618 \\ 62 & 500 \end{array}\] Using a 10% level of significance,do the data provide sufficient evidence of an association between typing speed and reading speed?

H0: No linear relationship between typin

Applicants for a particular job,which involves extensive travel in Spanish-speaking countries,must take a proficiency test in Spanish.The sample data were obtained in a study of the relationship between the numbers of years applicants have studied Spanish and their score on the test.Use the regression analysis and summary statistics given below to find a 95% confidence interval for the average score of an applicant who has studied Spanish for 2.2 years. \[\begin{array} { l l l l c } \text { Variable } & \text { Count } & \text { Mean } & \text { StdDev } & \text { Range } \\ \text { Years } & 10 & 3.5 & 0.341565 & 3 \\ \text { Score } & 10 & 69.7 & 4.088058 & 41 \end{array}\] Dependent variable is: Score R-squared = 83.0% S = 5.65138 with 10 - 2 = 8 degrees of freedom \[\begin{array} { l l l l l } \text { Variable } & \text { Coefficient } & \text { SE(Coeff) } & \text { t-ratio } & \text { P-value } \\ \text { Constant } & 31.53333 & 6.360418 & 4.957745 & 0.00111 \\ \text { Number of years } & 10.90476 & 1.744054 & 6.252538 & 0.000245 \end{array}\]

A) 51.5 to 59.5 B) 43.1 to 70.9 C) 43.7 to 67.3 D) 48.9 to 62.2 E) 40.9 to 70.2 A) 51.5 to 59.5 B) 43.1 to 70.9 C) 43.7 to 67.3 D) 48.9 to 62.2 E) 40.9 to 70.2