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Consumption Temperature
126 30
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87 42
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50 61
39 69
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61 45
92 36
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138 28
99 39
64 47
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53 64
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118 27
The owner of a single-family home would like to develop a model to predict electricity consumption in his house, based on average atmospheric temperature in degrees Fahrenheit.
Monthly kilowatt usage and temperature data are available for a period of 24 months
1.) Assume a linear relationship, use the least square method to find the regression coefficients bo and b1
2.) Predict the mean kilowatt usage when the average temperature is 50 degrees Fahrenheit.
3.) Compute the Durbin-Watson statistic. At the 0.05significance level, is there evidence of autocorrelation among the residuals?
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This activity is a revision of an activity found in Real Data: A Statistics Workbook Based on Empirical Data by Z. C Holcomb (1997). Published by Pyrczak Publishing.
Multiple comparison procedures are going to be done using the Bonferroni method with α = 0.10. The value of t** is 2.2426. The smallest minimum significant difference (MSD) for finding a difference between groups is computed as 17.68. The correct ..
Construct the 90% and 95% interval estimates for the population mean weekly sales.
Two groups of students are asked to rank their preference for six types of soft drinks. The following table shows their rankings.
Identify the type of sampling (random, systematic, convenience, stratified, cluster) used when a sample of people who smoke is obtained as described below.
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In a distribution of scores, the arithmetic mean is 51, the median is 55, and the mode is 62. What is the score, in percentile form, of a subject who does less well than two-thirds of the sample?
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Suppose you are given a grant to run a controlled experiment. Explain how you would structure the experiment in order to estimate the casual effect of hours on sat.
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