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04) Use regression analysis with 85% confidence level to identify the significant factors and their interaction(s) (u...
Problem 2 In a process development study on yield, four factors were studied, each at two levels:...
Problem 2 In a process development study on yield, four factors were studied, each at two levels: time (A), concentration (B), pressure (C), and temperature (D). A single replicate of a 2 design was run and the resulting data are shown in the following table Yield (Ibs) 67 128 86 134 97 92 132 128 81 159 114 163 93 109 122 140 Actual Run Order 9 12 13 14 15 10 16 The factor level settings are as follows...
Regression Analysis Problem #1 The following table shows the sales (in $100,000) of a certain product as a function of...
Regression Analysis Problem #1 The following table shows the sales (in $100,000) of a certain product as a function of the past 10 months and the level of advertisement (in S1,000) for the corresponding months Sales 100 110 107 110 118 120 117122 120 125 Month 2 4 5 7 8 10 Advertisement 1.5 2.1 2,6 2.8 3.5 3.7 3.6 3.4 3.4 2.9 Part A: Considering a simple linear regression of sales vs, time (months), perform the following analysis manually,...
Oliò Description and Requirements Computer Lab Assignment #9 1. Use Excel and the "Restaurant" da...
oliò Description and Requirements Computer Lab Assignment #9 1. Use Excel and the "Restaurant" data set file located in D2L for this assignment 2. For each class (Class 1 to 14), consider the number of customers for day 7. Call this new variable, day data, as X1. Consider the number of waiters/waitresses as variable X2.Consider the customer satisfaction as vanable Y In another word, create a table for variables Y, X.X2 Dependent Variable: Y Independent Variables: X,X2 3. Find a...
Question 1: Is the magnitude of an earthquake related to the depth below the surface at...
Question 1: Is the magnitude of an earthquake related to the depth below the surface at which the quake occurs? In order to answer this question an analysis is conducted. Let we wish to explain depth (in kilometers) of the quake below the surface at the epicenterx by magnitude of an earthquake (on the Richter scale). Data are as follows: 1 2 3 4 5 6 7 8 9 10 3.9 4.3 3.3 4.6 3.9 3.2 3.4 4.5 5.1 2.6...
Question 1 : Is the magnitude of an earthquake related to the depth below the surface...
Question 1 : Is the magnitude of an earthquake related to the depth below the surface at which the quake occurs? In order to answer this question an analysis is conducted. Let we wish to explain depth (in kilometers) of the quake below the surface at the epicenterx by magnitude of an earthquake (on the Richter scale). Data are as follows: 1 2 3 4 5 6 7 8 9 10 3.9 4.3 3.3 4.6 3.9 3.2 3.4 4.5 5.1...
Regression and Correlation Methods: Correlation, ANOVA, and Least Squares This is another way of assessing the...
Regression and Correlation Methods: Correlation, ANOVA, and Least Squares This is another way of assessing the possible association between a normally distributed variable y and a categorical variable x. These techniques are special cases of linear regression methods. The purpose of the assignment is to demonstrate methods of regression and correlation analysis in which two different variables in the same sample are related. The following are three important statistics, or methodologies, for using correlation and regression: Pearson's correlation coefficient ANOVA...
Excel Lab 2: Regression and Goal Seek In this lab, you will use Excel to determine...
Excel Lab 2: Regression and Goal Seek In this lab, you will use Excel to determine the equation of the model which best fits a set of ordered pairs obtained from data sets. You will enter data, graph the data, find the equation for the regression model, and then use that equation to make predictions for the dependent variable. You will use the goal seek to make predictions for the independent variable. Then you will consider how accurate your predictions...
Use the following information to answer the questions below: Heat Power is a utility company that...
Use the following information to answer the questions below: Heat Power is a utility company that would like to predict the monthly heating bill for a household in a particular region during the month of January. A random sample of 18 households in the region were selected and their January heating bill recorded. The data is shown in the table below along with the square footage of the house (SF), the age of the heating system in years (Age), and...
Use Minitab, R, or your preferred software for this question. An exercise physiologist used skinfold measurements...
Use Minitab, R, or your preferred software for this question. An exercise physiologist used skinfold measurements to estimate the total body fat, Y, expressed as a percentage of body weight, X1, for 19 participants in a physical fitness program. Body fat percentage and body weight are shown in the table below. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 Weight (kg) 89 88 66 59 93 73 82 77...
Consider the following experiment of the effects of eight factors on the taste of a 1985 Pinot No...
just for part b c e
Consider the following experiment of the effects of eight factors on the taste of a 1985 Pinot Noir, as assessed by a panel of five experts. Each expert ranked the sixteen samples of wine, with rank "1" denoti the best and "16" the worst. The final outcome for a treatment- level combination is the average rank for that particular wine over all the experts, which we shall treat as a continuous outcome. Descriptions of...
Problem 2 In a process development study on yield, four factors were studied, each at two levels: time (A), concentration (B), pressure (C), and temperature (D). A single replicate of a 2 design was run and the resulting data are shown in the following table Yield (Ibs) 67 128 86 134 97 92 132 128 81 159 114 163 93 109 122 140 Actual Run Order 9 12 13 14 15 10 16 The factor level settings are as follows...
Regression Analysis Problem #1 The following table shows the sales (in $100,000) of a certain product as a function of the past 10 months and the level of advertisement (in S1,000) for the corresponding months Sales 100 110 107 110 118 120 117122 120 125 Month 2 4 5 7 8 10 Advertisement 1.5 2.1 2,6 2.8 3.5 3.7 3.6 3.4 3.4 2.9 Part A: Considering a simple linear regression of sales vs, time (months), perform the following analysis manually,...
oliò Description and Requirements Computer Lab Assignment #9 1. Use Excel and the "Restaurant" data set file located in D2L for this assignment 2. For each class (Class 1 to 14), consider the number of customers for day 7. Call this new variable, day data, as X1. Consider the number of waiters/waitresses as variable X2.Consider the customer satisfaction as vanable Y In another word, create a table for variables Y, X.X2 Dependent Variable: Y Independent Variables: X,X2 3. Find a...
Question 1: Is the magnitude of an earthquake related to the depth below the surface at which the quake occurs? In order to answer this question an analysis is conducted. Let we wish to explain depth (in kilometers) of the quake below the surface at the epicenterx by magnitude of an earthquake (on the Richter scale). Data are as follows: 1 2 3 4 5 6 7 8 9 10 3.9 4.3 3.3 4.6 3.9 3.2 3.4 4.5 5.1 2.6...
Question 1 : Is the magnitude of an earthquake related to the depth below the surface at which the quake occurs? In order to answer this question an analysis is conducted. Let we wish to explain depth (in kilometers) of the quake below the surface at the epicenterx by magnitude of an earthquake (on the Richter scale). Data are as follows: 1 2 3 4 5 6 7 8 9 10 3.9 4.3 3.3 4.6 3.9 3.2 3.4 4.5 5.1...
Use the following information to answer the questions below: Heat Power is a utility company that would like to predict the monthly heating bill for a household in a particular region during the month of January. A random sample of 18 households in the region were selected and their January heating bill recorded. The data is shown in the table below along with the square footage of the house (SF), the age of the heating system in years (Age), and...
just for part b c e
Consider the following experiment of the effects of eight factors on the taste of a 1985 Pinot Noir, as assessed by a panel of five experts. Each expert ranked the sixteen samples of wine, with rank "1" denoti the best and "16" the worst. The final outcome for a treatment- level combination is the average rank for that particular wine over all the experts, which we shall treat as a continuous outcome. Descriptions of...
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