According to this model, which predictors are significant at the 5% level? Fuel economy (city MPG) Number of seats (seating) Length in inches Acceleration time to 60mph (CHECK all that APPLY)

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Internet speeds are a heavily advertised selling point of Internet Service Providers. You notice that although you are paying for a certain speed, the true speed seems to vary depending on where you are in your house. In order to estimate the true average speed you are getting in your house, you go to 13 random spots around your house and record the speed (in MBs per second) shown from a test at 'www.speedtest.net'. You see that the average is 5.61 MB/s with a standard deviation of 1.274 MB/s. You decide to create a 99% confidence interval for the average internet speed in your house. What is the margin of error for this estimate?

Hashim Motors Sdn. Bhd. specializes in selling a secondhand car. Currently, the company has 12 used cars for sale. The owner of the company wants to investigate the relationship between the age of the car and the mileage of the car. The data were collected and analyzed using SPSS. The results as follow. Car's age (years) | 6 4 2 2.5 3 Mileage ('000 km) | 93 60 33 36 53 59 48 77 4 5 5.5 4.5 4.5 3.5 79 61 63 50 3 Model Summary Adjusted R Std. Error of the Model R R Square Square Estimate 1 .975 .951 .946 4.036 a. Predictors: (Constant), Age

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What does MS between reflects?

A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized. ŷbo+b₁x + b₂x² where The following data were collected during rush hour for six highways leading out of the city. y = traffic flow in vehicles per hour * = vehicle speed in miles per hour Traffic Flow (y) p-value = (to 4 decimals) The relationship - Select your answer - significant. c. Estimate the traffic flow in vehicles per hour at a speed of 38 miles per hour (to 2 decimals). vehicles per hour 1257 1329 1227 1336 1349 Vehicle Speed (2) 35 1125 40 35 45 30 a. Use the data to compute the coefficients of this estimated regression equation (to 4 decimals). Enter negative value as negative number. (Create the ² variable first using Data/Transform Data/Square.) bo = b₁ = b₂ = b. Using a = 0.01, test for a significant relationship. F= (to 4 decimals) 55

I have attached an image for the question, please include instructions on how to figure this out if possible with stat crunch or excel.

Just need the last 2 parts please. Starting at plot a scatter diagram & then the one below that based on.. Thank you (:

We use the dataset "MASchools" in the package "AER". The dataset contains information on test performance, school characteristics and student demographic backgrounds for school districts in Massachusetts (MA). In this exercise, we shall use R-functions in the packages "estimatr" and "AER" (or "car"). We wish to learn the effect of student-teacher ratio (STR) on the 4th grade score (TestScore), which is defined as the sum of math, English, and science. In order to control for omitted variable bias, we shall include a few other additional variables and consider various functional forms. For all estimation exercises here the type of standard error should be "HC1" or equivalently "stata". QUESTION 1 Estimate the population regression model: TestScore=B+B STR+B Income + B Lunch + u i where E[u ISTR]=0. Here, Income and Lunch are the per capita income and percentage of qualified students for reduced-price i lunch in school district i. What is the t value for the OLS estimate of the slope…