Help is needed on question 1. The second picture is the data set “Showtime.xlsx” needed to...
Data on the fuel consumption ?y of a car at various speeds ?x is given. Fuel consumption is measured in mpg, and speed is measured in miles per hour. Software tells us that the equation of the least‑squares regression line is ?̂ =55.3286−0.02286?y^=55.3286−0.02286x Using this equation, we can add the residuals to the original data. Speed 1010 2020 3030 4040 5050 6060 7070 8080 Fuel 38.138.1 54.054.0 68.468.4 63.663.6 60.560.5 55.455.4 50.650.6 43.843.8 Residual −17.00−17.00 −0.87−0.87 13.7613.76 9.199.19 6.316.31 1.441.44...
eBook Video Consider the following data for two variables, z and y. i 135 110 130 145 175 160 120 i 145 100 120 120 130 130 110 a. Consider the four scatter diagrams below. 1. 120 100 80 " " 60 40 20 110-120 130 149-150 160 170 2. 120 100 80 60 40 20 110-120-130 140 150 160 170 3. 120 100 80 60 40 20 110一一120一一130 -149 130-100-170 120 100 80 60 40 20 130-140-150一一160一一1zo___ 110 120...
Step 1 Data Set A- 7,7,7,9,9,9,10 Data Set B- 4,6,6,6,8,9,9,9,10,10,10 Step 1 Find the sample mean, median (if it exists) mode for each set of data Next find the sample standard deviations for each set of data Eliminate any outliers from the samples. Redo part 1 for each variable (if necessary, if not explain why). Compare your two sets of results. What happened to your averages? Standard deviations? Etc. Write a brief explanation of what you found in the data....
Question # 3. The following data set records the cost of advertising (in thousands of dollars) and the number of prescriptions written for a new drug (in thousands). Cost (x) 9 2 3 4 2 6 9 10 Number of prescriptions (y) 85 61 64 67 60 75 83 87 Using the above data: (Please use Minitab for parts a, b, d) a) A bivariate (scatter) plot for the data set. (5 points) b) Find the correlation (r) and its...
please answer the following using the r code provided . The data set below contains information about the gasoline mileage performance for 32 au- tomobiles. We are interested in developing a model to predict the miles per gallon () using related predictor variables. The variables in the study are Dependent variable: Miles per gallon (v) Independent variables: ri horsepower (ft-lb) ra: torque (ft-lb) r: horsepower+torque (ft-lb) rs: carburetor (barrels) (a) We first start by fitting a model using y and...
Place your answers on the templates provided. Show your work. Directions: 1. A doctor knows that muscle mass decreases with age. To help him understand this relationship in women, the doctor selected women beginning with age 40 and ending with age 80. The data is given in the table below. x is age, y is a measure of muscle mass (the higher the measure, the more muscle mass). Use your calculator to make a scatter plot that shows how age...
Really short question! The second picture is some information about the data set. Please help me to solve, thank you! (30%)Q4 (EM algorithm): The heights of n 8000 students are drawn from a school. Assume the height largely depends on the gender. We denote the height of student i by Yi, and the gender of student i by Z..(Y; : 1 i n) are observed, but {Zi : 1 i n} are unknown Our model can be formulated as follows....
To be done on excel: Team Revenue ($ millions) Value ($ millions) Arizona Diamondbacks 195 584 Atlanta Braves 225 629 Baltimore Orioles 206 618 Boston Red Sox 336 1,312 Chicago Cubs 274 1,000 Chicago White Sox 216 692 Cincinnati Reds 202 546 Cleveland Indians 186 559 Colorado Rockies 199 537 Detroit Tigers 238 643 Houston Astros 196 626 Kansas City Royals 169 457 Los Angeles Angels of Anaheim 239 718 Los Angeles Dodgers 245 1,615 Miami Marlins 195 520 Milwaukee...
matlab 1. [suDmit as Iwo JPEGS in Canvas with your netiD in the title of each plot] An electricity startup is looking into the viability of putting solar panels on the rooftops of buildings in Newark, NJ. They want you to help them come up with visualizations for data they have from the National Renewable Energy Laboratory and the National Oceanic and Atmospheric Administration about: - The average amount of sunshine received each month in the form of Global Horizonal...
Please I need the answers for question 6 and 7 : 6. Elementary school teachers are concerned about "screen time for children. Specifically, they worry that too much time with television, computers, pads, and smart phones is interfering with reading ability. They decide to do a statistical study. They randomly choose some elementary school children from their district, and interview them and their families to determine the amount screen time, on average, per week, for each child. They also record...