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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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 8.4 6.6 13.7 11 9.3 X = thousands of automatic weapons y = murders per 100,000 residents 3.7 7.5 This data can be modeled by the equation y = Answer = 2.4 2.6 2.4 0.4 6.3 5.9 6.2 4.1 to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. Answer = 0.84x +4.01. Use this equation A) How many murders per 100,000 residents can be expected in a state with 6.2 thousand automatic weapons? Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 6.9 thousand automatic weapons? Round to 3 decimal places.
Christine is a sales manager for a car rental company. She has a scatterplot with data regarding the years of experience of sales representatives and percent of satisfied customers. What information would the scatterplot below indicate? Select all that apply. 100 90 80 70 50 40 30 20 10 1 3 5 6 7 Years of Experience of Salesperson O Satisfaction rate is the independent variable. O Satisfaction rate is the dependent variable. O Years of experience is the independent variable. O Years of experience is the dependent variable. O Christine should consider customer satisfaction training for her more novice representatives. O There is a positive correlation between years of experience and customer satisfaction. O There is a negative correlation between years of experience and customer satisfaction. O There is no correlation between years of experience and customer satisfaction. Percent of Satisfied Customers
Life expectancy in the United States has been rising since the nineteenth century. The table shows the U.S. life expectancy in selected years. Year 1950 1960 1970 1980 1990 2000 Life expectancy at birth 68.2 69.7 70.8 73.7 75.4 77 a. Let t represent the number of years after 1950, and plot the data. Draw a line a best fit for the data points. 80+ 76- 5 10 15 20 25 30 35 40 45 50 Draw: 72+ 64- 60+ 56 52 48- 44 Clear All
d. Draw the regression line on the scatter diagram using the yp points.e. Find y for x = 50 x 20 10 30 40 60 70 y 20 20 30 50 60 80
The number of household members, x, and the amount spent on groceries per week, y, are measured for six households in a local area. Draw a scatterplot of these six data points. X 2 2 3 4 1 5 у $95.75 $110.19 $118.33 $150.92 $85.86 $180.62
A researcher explored the relationship between the percent of snow days during the month of January and the percent of students that receive an A on class finals at the same schools. The researcher collects information from 6 schools, shown in the table below. Use the graph below to plot the points and develop a linear relationship between the percent of January snow days and the percent of 'A' final exams. School Number % of Snow Days % of A Finals 1 5 25 2 7 45 3 10 50 4 12 65 5 20 70 6 25 86 Using the linear relationship graphed above, estimate the percent of 'A' finals if there are 2% snow days. Provide your answer below:

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