Are the signs of the coefficients on the variables "Frequency of Flights" and "Destination is a Big City" corresponding to the utility of the "Air" mode meaningful?   Utility for Car Utility for Air   param.  t stat Param. t stat Constant 4.77 6.995 0 fixed Travel Time (mins) -0.03 -16.926 -0.03 -16.926 Travel Cost / Income ($/$) -726.35 -4.28 -726.35 -4.28 Frequency of Flights (per week) 0 fixed 0.12 13.414 Is Destination a Large City 0 fixed 1.5 5.576 Travel Party Size > =2^2 1.75 5.873 0 Fixed

what is the equation and r-squared value of the calibration curve ?

Visualize that two tributaries A and B at their confluence form a river C. Statistical properties of flow data for tributaries A and B indicate that tributary A has a yearly discharge rate smaller than its mean flow rate (?̅?) in 50% of the years while tributary B has a yearly discharge rate smaller than its mean flow rate (?̅?) in 60% of the time. In 70% of the years in which tributary A has a discharge rate smaller than its mean discharge rate (?̅?), tributary B also has a discharge rate smaller than its mean discharge rate (?̅?). Compute the probability that (i) both tributaries have a discharge rate smaller than their mean discharge rates, (ii) at least one tributary has a discharge rate smaller than its mean discharge rate, (iii) tributary A has a discharge rate smaller than its mean discharge rate given that tributary B has a discharge rate smaller than its mean discharge rate, (iv) at least one tributary has discharge rate higher than its mean discharge rate, and (v) probability…

**Based on the regression results, answer the following questions** Data are collected on the income (measured in $1000’s of $’s), house value (measured in $1000’s of $’s), years in a home, age, sex (=1 for male, =0 for female), and the amount outstanding on a mortgage (measured in $1000’s of $’s). The dependent variable is income. Based on the regression results, answer the following questions e) Are any of the explanatory (independent) variables significant at the 10% level of significance? How do you know? f) What is the predicted value of income for a person that has been in a house for 5 years, is 38 years old, is a male, has a house valued at $250,000, and has $100,000 left on their mortgage? (g) What is the effect on the income of a person being a male versus a female?

The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts​ (a) through​ (d). ​(a) Do you think the variable​ "weekly time spent watching​ television" would be normally​ distributed? If​ not, what shape would you expect the variable to​ have?     A. The variable​ "weekly time spent watching​ television" is likely skewed​ left, not normally distributed.   B. The variable​ "weekly time spent watching​ television" is likely normally distributed.   C. The variable​ "weekly time spent watching​ television" is likely​ uniform, not normally distributed.   D. The variable​ "weekly time spent watching​ television" is likely​ symmetric, but not normally distributed.   E. The variable​ "weekly time spent watching​ television" is likely skewed​ right, not normally distributed.

Out of 100 people sampled, 88 had children. Based on this, construct a 90% confidence interval for the true population proportion of people with children. Preliminary: Is it safe to assume that n≤5% of all people with children? Yes No Verify nˆp(1−ˆp)≥10. Round your answer to one decimal place. nˆp(1−ˆp)= Confidence Interval: What is the 90% confidence interval to estimate the population proportion? Round your answer to three decimal places. <p<

If another variable systematically co-varies with the independent variable, then we likely have an extraneous variable b. a dependent variable an ex post facto design a confounding variable

SPC Bachelors & Associate Deg X Test: Test 1 Review Question list ← → C mylab.pearson.com/Student/PlayerTest.aspx?testid=251861855 MAT1033, Summer 2023 Online Class:930 (0620) Question 10 Question 11 O Question 12 Question 13 Question 14 Question 15 Question 16 Question 17 Sign In Question 18 K X SPC Dashboard - St. Petersburg X Slope = (Simplify your answer. Type an integer or a fraction.) y-intercept = (Type an ordered pair.) 4 mic Step 1: Barnes & Noble Cc X Find the slope and y-intercept of the line whose graph is shown to the right. Then use these to write an equation of the line. Pearson MyLab and Maste X ... Question 19 of 20 The equation of the line is (Simplify your answer. Type your answer in slope-intercept form. Use integers or fractions for any numbers in the equation.) P Test 1 Review

iris is a built-in R data set (data frame). This data set contains gives the measurements in centimeters of the variables sepal length and width and petal length and width, respectively, for 50 flowers from each of 3 species of iris. The species are Iris setosa, versicolor, and virginica. We are interested in some descriptive statistics related to the Sepal.Width column of the data frame. We can access the data directly by using the assignment x <- iris$Sepal.Width (In R use ?iris for info on this dataset.)Remember: x <- iris$Sepal.Widtha.Calculate the sample median of x. b. Using the R quantile function, find the .80 quantile of x.(80th percentile) c. Calculate the interquartile range of x using R. d. Calculate the sample mean of x. e. Calculate a 4% trimmed mean for x. f. Calculate the sample variance of x. g. Calculate the sample standard deviation of x. h. What proportion of the x values are within 2.0 sample standard deviations from the sample mean i. Calculate the minimum…

A doctor notes the variables listed in the following table from every patient before admitting in his hospital.  Which of the following variables are qualitative and which are quantitative?  Which qualitative variables are nominal or ordinal? Which quantitative variables are discrete or continuous?   ( 1 )  Gender (Male or Female)   ( 2 ) Weight (lbs)   ( 3 ) Phone Number   ( 4 ) Height (cm)   ( 5 ) Marital Status (Single, Married, Divorce, Widow)   ( 6 ) Systolic Blood Pressure (mm of pressure)   ( 7 ) Temperature (degree F)   ( 8 ) Level of Calcium (microgram/milimeter)   ( 9 ) Family of Income ( Amount)   ( 10 ) Wihte Blood Cells