Find the best linear model per sub-item by trying all the possible lines passing through any possible twopoints of the data set.a. x1.02.33.74.26.17.0y3.63.03.25.15.36.8b. x29.148.272.792.0118140165199y0.04930.08210.1230.1540.1970.2340.274 0.328c. x2.53.03.54.04.55.05.5y4.324.835.275.746.266.797.23

I can analyze the data to determine if there's an interaction present. Here's how we can do it…

Answered: Find the best linear model per sub-item…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Data Table Faculty: 2 3 1 0 1 2 4 3 3 2 1 Student: 6 7 9 3 8 11 2 5 7 11 10 b. Give the five-number summary and draw a boxplot for each of the two data sets. Give the five-number summary for faculty parking. low= lower quartile= median= upper quartile= high=
A. run a simple regression- dependent variable is Weeks, independent variable is Age. B. run a multiple regression with dependent variable weeks and independent variable-age, married, head, manager and sales. C. Create the regular and standardized residual plots for both. Please show the tables when entering values of the regression for both the outputs and the scatter plots.
Show work, thank you!
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.8 8.5 7 3.3 2.5 2.8 2.2 0.6 14.2 11.6 10.3 7.1 6.4 6.7 6.2 4.8 thousands of automatic weapons = murders per 100,000 residents This data can be modeled by the linear equation ŷ = 0.84x + 4.33 a. How many murders per 100,000 residents can be expected in a state with 9.1 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents b. How many murders per 100,000 residents can be expected in a state with 4.3 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents
Water and Carbohydrates Here are the number of grams of water and the number of grams of carbohydrates for a random selection of raw foods ( 100g each). Is there a linear relationship between the variables? Water 73.78, 74.17, 86.26, 83.21, 85.21, 80.05, 76.36 Carbs 23.51, 23.64, 24.11, 16.59, 20.10, 14.65, 15.26 Draw the scatter plot for the variables. Compute the value of the correlation coefficient r= state the hypothesis h0: h1: critical value(s) reject or accept the null hypothesis Give a brief explanation of the type of relationship
Twelve husbands were asked how much housework they completed last week and how many children were in the home. Use the following data to complete the questions in this section. Write out the linear model. Children Husband’s Housework Children Husband’s Housework 2 4 4 6 1 1 1 3 3 0 3 5 5 4 2 3 1 5 2 1 5 7 4 3
For the data set, perform a 3 month moving average to determine the forecast for month 13. Show all work in an Excel file. month rate 1 9.5 2 9.3 3 9.4 4 9.6 5 9.8 6 9.7 7 9.8 8 10.5 9 9.9 10 9.7 11 9.6 12 9.6
Fat (9) 31 39 19 34 43 39 35 Calories 580 680 410 590 | 660 640 570 8. Make a scatter plot of the data. 700 650 * 600 550 500 450 400 O 10 20 30 40 50 x Fat (g) Desertee the COFrelation Use technology to find the equation of the best-fitting line for the data. Graph the best-fitting line for the data on the scatter plot. Predict the number of calories in a hamburger that contains 34 grams óf fat. Calories
A) Draw a residual plot of the data. Explain why a linear model is appropriate for the data B) Suppose that the times have been recorded in seconds. For example, the time 34.12 minutes would be 2047 seconds. How would the value of r change?
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X Y 11.4 8.6 7.2 3.6 13.5 11.3 10.1 x = thousands of automatic weapons y = murders per 100,000 residents 2.4 2.8 2.3 0.9 7 6.1 6.6 5.9 4.7 This data can be modeled by the equation y = 0.83x +4.06. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. Answer = A) How many murders per 100,000 residents can be expected in a state with 2.7 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 11 thousand automatic weapons? Round to 3 decimal places.
Use the given data to find the scatter plot, equation of the regression line, and prediction. 4) Managers rate employees according to job performance and attitude. The results for several randomly selected employees are given below. Performance 59 63 65 69 58 77 76 | 69 70 64 Attitude 72 67 78 82 75 87 92 83 87 78 What function do you use to see the scatterplot on the calculator. Scatterplot from the calculator:
The table shows the lengths and weights of seven muskies captured by the Department of Natural Resources in Catfish Lake in Eagle River, Wisconsin. Use the linear regression feature on a graphing calculator to determine an equation of the line that best fits the data. Round to the hundredths. Musky 1 2 3 4 5 6 7 Length (in.) 26 27 29 33 35 36 38 Weight (lb) 5 8 9 12 14 14 19

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