The following data was collected to explore how a student's age and GPA affect the number of parking tickets they receive in a given year. The dependent variable is the number of parking tickets, the first independent variable (x1) is the student's age, and the second independent variable (x2) is the student's GPA. Age, GPA, Number of Tickets 24 4 9 23 3 8 22 2 8 22 2 5 22 2 3 20 2 1 18 2 1 18 2 0 18 2 0 Step 1 of 2 : Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places.

For the following pair of parameter and choice variable indicate whether the relationship is positive, negative, ambiguous, or no effect. Explain in a sentence or two. Ban on new housing and Filter rate

The following data give the percentage of women working in five companies in the retail and trade industry. The percentage of management jobs held by women in each company is also shown. % Working 67 45 73 54 61 % Management 50 23 63 47 34 (a) Develop a scatter diagram for these data with the percentage of women working in the company as the independent variable. A scatter diagram has 5 points plotted on it. The horizontal axis ranges from 40 to 75 and is labeled: % Working. The vertical axis ranges from 0 to 70 and is labeled: % Management. The first three points are plotted from left to right in an downward, diagonal direction starting in the upper left corner of the diagram. The fourth point extends upward in a diagonal direction to the right. The last point then extends downward from the fourth point in a diagonal direction to the right. The points are between 23 to 63 on the vertical axis.   A scatter diagram has 5 points plotted on it. The horizontal axis ranges…

A social media app is conducting a study on the amount of time users spend on the app. They collect the following variables. Age Years: How old they are in years? Income: Monthly Income Location: What country do they live in? Device: Do they use an iPhone, Samsung, other? Service: Who provides their mobile phone service? For example: T-Mobile, At&t, Verizon, ect Hours: How many hours do they spend on the app per week. A) Which variable could the research construct a one proportion z-interval for? B) The social media app just launched a new algorithm that suggest content in an effort to increase the amount of time the user spends on the app. The researchers want to use the survey results to see if there is statistically significant evidence that on average users spend more than 10 hours per week on the social media app. The researchers found in their sample of 44 users, the mean hours spent on the app is 10.5 hours with a standard deviation of 5.675 hours. Which type of hypothesis test…

Suppose you have access to a database with the variables listed below. Choose two variables you are interested in exploring that may be related (a predictor and outcome). Which variable is your y (outcome) and which is your x (predictor)?  *Hint: which one may predict the other? Example: hot weather may predict sunburns.

help please

Considering yourselves to be observational units, explain why the following are not variables: Average amount of hours worked in the past 24 hours among students in our class. Proportion of students in our class who are first-generation college students Have left-handers read more Harry Potter books, on average, compared to right-handers?

An engineer wants to determine how the weight of a gas powered car, x, affects gas mileage, y. The accompanying days represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. weight                    Miles per (pounds), x           Gallon, y 3797                             16 3897                             16 2704                             24 3608                             20 3360                             22 3040                             22 3787                              17 2618                              24 3509                             18 3798                             16 3399                             17   interpret the slope y-intercept, if appropriate. Choose the correct answer below for y hat = -0.00661x + 41.80 a) A weightless car will get ____ miles per gallon, on average. It is not appropriate to interpret the slope.  b) for every pound added to the weight of the car, mileage in the city will…

A researcher found that counties with a high rate of passport ownership also have low rates of obesity, and counties with low rates of passport ownership have high rates of obesity. This is an example of what kind of relationship? Positive Negative Spurious Intervening

Some research situations are summarized below. For each situation, identify all variables.Then, for each variable, note the level of measurement AND whether it is an independent or dependent variable.         a.Ahealth researcher is interested in studying patient compliance (whether or not patients take the medicine their doctor prescribes). She surveys 800 diabetic patients, and finds compliance to be linked to patient age, education, gender, and socioeconomic status. b. A market researcher is hired by Target to see how customers buying habits have changed before and after COVID.  The researcher studies how much each customer spent (in $s), how frequently they visited the website each month, how frequently they visited the store each month.  They report that, since March, customers are spending less, visiting the website more frequently, and shopping in person less frequently.