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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?
question 1nbspnbsp a large shipping company recorded the number of tons shipped weekly across the pacific for 50
EIHP Assessment 2 – Interpreting Basic Statistical Data, Article: Ramirez, G. & Beilock, S.L. (2011). Writing about testing worries boosts exam performance in the classroom. Science, 331. 211-213. This article is page 74-77 of your handbook.
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The result is a sample size beyond what you can obtain
Where y∗i = a1 · yi + a2, for i = 1, ..., n, and a1 and a2 are known positive constants?
Find the probability that exactly 5 rats have recessive traits and find the probability that no more than 9 rats have recessive traits.
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Explain what type of data you would use to estimate the model - time series, cross-section, or panel data and Identify the dependent variable and the independent variables
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