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Computing SSE using Equation 11-12 would be fairly tedious. A more convenient computing x into Equation 11-12 and simplifying. formula can be obtained by substituting yi 0 1 i

Public Shared Function ExecuteDataSet( _ ByVal cn As SqlConnection, _ ByVal cmdType As CommandType, _ ByVal cmdText As String, _ ByVal ParamArray prm() As SqlParameter) As DataSet Dim cmd As New SqlCommand(cmdText, cn) cmd.CommandType = cmdType AddParameters(cmd, prm) Dim ds As New DataSet() Dim da As New SqlDataAdapter(cmd) da.Fill(ds) Return ds End Function

(11-14)

where SST g i 1 1 yi y 2 2 g i 1 y 2 ny 2 is the total sum of squares of the response i variable y. The error sum of squares and the estimate of 2 for the oxygen purity data, 2 1.18, are highlighted in the Minitab output in Table 11-2.

Click Text Filters or Number Filters. Click Custom Filter. In the Custom AutoFilter dialog box, you can select operators and values to apply to the filtered data. In this case, the filter displays all records whose Contact field contains the values Francois Boisson or Fred Garvin.

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9. Add a new method called AddParameter, that requires parameters for the command and array of parameters. This method does not return a value. 10. In the AddParameter method, add code to test the parameter array to see if it is Nothing, and return if so. Add a loop that adds each parameter in the array to the command object s collection of parameters. The code should look like the following:

EXERCISES FOR SECTION 11-2

11-1 An article in Concrete Research ( Near Surface Characteristics of Concrete: Intrinsic Permeability, Vol 41, 1989), presented data on compressive strength x and intrinsic permeability y of various concrete mixes and cures Summary quantities are n 14, gyi 572, g y2 23,530, g xi 43, i g x 2 15742, and g xi yi 169780 Assume that the two varii ables are related according to the simple linear regression model (a) Calculate the least squares estimates of the slope and intercept (b) Use the equation of the tted line to predict what permeability would be observed when the compressive strength is x 43 (c) Give a point estimate of the mean permeability when compressive strength is x 37 (d) Suppose that the observed value of permeability at x 37 is y 461 Calculate the value of the corresponding residual 11-2.

Private Shared Sub AddParameters( _ ByVal cmd As SqlCommand, _ ByVal prm() As SqlParameter) If prm Is Nothing Then Return End If Dim p As SqlParameter For Each p In prm cmd.Parameters.Add(p) Next End Sub

Regression methods were used to analyze the data from a study investigating the relationship between roadway surface temperature (x) and pavement de ection ( y) Summary quantities were n 20, g yi 1275, g y 2 886, g xi i 2 1478, gx i 143,2158, and g xi yi 108367 Yards Rushing by Opponent (x) 2205 2096 1847 1903 1457 1848 1564 1821 2577 2476 1984 1917 1761 1709 (a) Calculate the least squares estimates of the slope and intercept Graph the regression line (b) Use the equation of the tted line to predict what pavement de ection would be observed when the surface temperature is 85 F (c) What is the mean pavement de ection when the surface temperature is 90 F (d) What change in mean pavement de ection would be expected for a 1 F change in surface temperature 11-3.

Consider the regression model developed in Exercise 11-2 (a) Suppose that temperature is measured in C rather than F Write the new regression model that results (b) What change in expected pavement de ection is associated with a 1 C change in surface temperature 11-4 Montgomery, Peck, and Vining (2001) present data concerning the performance of the 28 National Football League teams in 1976 It is suspected that the number of games won (y) is related to the number of yards gained rushing by an opponent (x) The data are shown in the following table Yards Rushing by Opponent (x) 1901 2288 2072 2861 2411 2289 2203 2592 2053 1979 2048 1786 2876 2560.

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11. Add overload to the ExecuteDataSet method that requires only a connection and the command text. Rather than rewrite the code, this method should call the method that has already been written. The code should like the following:

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