Simple linear regression model, Applied Statistics

A study was conducted to determine the amount of heat loss for a certain brand of thermal pane window. Three different windows were randomly subjected to each of three different outdoor temperatures. For each trial the indoor window temperature was controlled at 68 degree F and 50 percent relative humidity. The heat losses at the outdoor temperature of 20 degrees F were 86, 80, and 77. The heat losses at the outdoor temperature of 40 degrees F were 78, 84, and 75. The heat losses at the outdoor temperature of 60 degrees were 33, 38, and 43.  Use the simple linear regression model to find a point prediction of and a 95 percent prediction interval for the heat loss of an individual window when the outdoor temperature is:

     a) 30 degrees F

     b) 50 degrees F

Posted Date: 3/8/2013 4:08:19 AM | Location : United States







Related Discussions:- Simple linear regression model, Assignment Help, Ask Question on Simple linear regression model, Get Answer, Expert's Help, Simple linear regression model Discussions

Write discussion on Simple linear regression model
Your posts are moderated
Related Questions
Histogram: It is generally used for charting continuous frequency   distribution. In histogram, data are plotted as a series  of rectangle one over the other. Class intervals

Consider the sample of 60 package design ratings given in the table below.                                    A Sample of Package Design Ratings                 (Composite S

Find the minimum constant workforce: ABC Company, a manufacturer of roofing supplies, has developed monthly forecasts for roofing tiles. The forecasted demand and the expected

Calculation for Continuous Series or Grouped Data = where, m = mid-point of class   =

Two individuals, player 1 and player 2, are  competing in an auction to obtain a valuable object. Each player bids in a sealed envelope, without knowing the bid of the other player

The displacement of a simply supported beam subject to a uniform load is given by the solution of the following differential equation (for small displacements); and q is th

Consider a Cournot duopoly with two firms (fi rm 1 and fi rm 2) operating in a market with linear inverse Demand P(Q) = x Q where Q is the sum of the quantities produced by both

Type of Correlation 1.      Positive and Negative Correlation: 2.      Simple Partial and Multiple Correlations. 3.      Linear and  Non linear or Correlations

Using Chi Square Test when more than two Rows are Present   To understand this, let us consider the contingency table shown below. It gives us the information about the stage

Analysis of variance allows us to test whether the differences among more than two sample means are significant or not. This technique overcomes the drawback of the method used in