please show all excel spreadsheets please Fit the data below to their respective models by using...
please help me answer these questions based on the data Part 5: Correlation, Regression, and Goodness-of-fit test analysis. (20 pts) Using the midpoints as the x-variable and the frequencies as the y-variable of the different data sets of both groups of players, complete the following: I. Graph the scatterplot of points (x, y) to determine the outliers and influential points. Calculate the value for the Linear Correlation Coefficient (r) and give the interpretation. Using a significance level of 0.05, determine...
this is a time series statistics question please answer problem 3.36 (all parts a through d) is pictured. it refers to using the data called cpg which is already a built-in data set to r code. show output and code used for r code. thanks. 3.36 One of the remarkable technological developments in the computer industry has been the ability to store information densely on a hard drive. In addition, the cost of storage has steadily declined causing problems of...
Please write the codes in MATLAB. HW8_4 Fit the data in the table using linear regression. Plot the data points as well as the regression line. Determine the value of y whenx = 7.2 and print it to the screen using fprintf Then repeat the process, regressing in the opposite way (x vs y) to find the equation of the line needed to determine the value of x when y is 15 Optional brain food: Do you get the same...
please solve using matlab 4. Nonlinear Regression Fit the below data with the following curve-fit equation y bi (ebr + 2 1.0000 1.5431 3.7622 10.0677 27.3082 Define a function of the sum of squared residuals (fSSR) as a function of the regression coefficients, b's. Minimize the fSSR function and determine the regression coefficients. Guess what would be the built-in math function to generate the original data? Plot the function in the existing figure with a smooth dashed line, calculate the...
please help solve the part that says "show all your calculations" im confused on how to do this. I have attached the table i used below. my m1, b1, and correlation are correct. this measurement and analysis on perior two solenoids. The length of both solenoids is 11 cm. Using your favorite math tool or package (graphing calculator, excel, etc) to analyze the data for Coil 1 included below in table 1. Do a linear fit (y = mx +...
Use Chi-Square Goodness of Fit Test, and please SHOW ALL WORK! Using a calculator is fine, but please identify the steps you used in the calculator so I can learn!!! 0 The following data measures concentration of arsenic in drinking water to 10 communities around Phoenix and 10 rural communities in Arizona. Draw QQ plot for each of them. Are they taken from approximately normal data? Phoenix: 3, 7, 25, 10, 15, 6, 12, 25, 15, 7 Arizona: 48, 21,...
The Book of R (Question 20.2) Please answer using R code. Continue using the survey data frame from the package MASS for the next few exercises. The survey data set has a variable named Exer , a factor with k = 3 levels describing the amount of physical exercise time each student gets: none, some, or frequent. Obtain a count of the number of students in each category and produce side-by-side boxplots of student height split by exercise. Assuming independence...
Assignment 7: Conjoint Analysis Please finish the following assignments in Excel and submit the Excel file onto Pilot. There are two respondents on Coke and Pepsi in data “conjoint_practice.xsls”. The two products are characterized by the following attributes Price (4 levels): $3.50, $3.75, $4.00, $4.25 Brand: Coke vs Pepsi Type: Diet vs Regular Choice Price d_coke d_regular Coke or Pepsi Diet or Regular Respondent 1 Respondent 2 Profiles Respondent 2 1 $3.50 $1.00 $0.00 C D 18 20 Choice Price...
Can you please answers these four questions as aoin as possible please and thank you! Given are five observations for two variables, z and y 5 13 20 18 48 57 11 27 a. Choose the corre rect scatter diagram for these data: A. B. 60+ 60 50 50 40 40 30+ 30 20 20 10 10- 10 20 30 40 50 60 x 10 20 30 40 50 60 57 x y 60 60 50+ 50- 40- 40+ 30-...
Please answer asap, thanks! We collect the following data to study the operation of a plant for the oxidation of ammonia to nitric acid. In the regression models, x is air flow, x2 is cooling water inlet temperature and y is stack loss. The standard errors of predicted are derived from the second model. Note that 1 57.765 and Σ(x1,-%)2-871.06. StdErr Pred y 27 0.9980645052 2 0.3599917876 23 0.4203293994 24 0.5286438199 4 0.5286438199 23 0.5199911743 8 0.5148291582 8 0.5148291582 7...