Coefficients Standardized Unstandardized Coefficients Coefficients 95.0% Confidence Interval Model B Std. Error Beta Sig Lower Bound Upper (Constant) 51.030 7.303 6.987 000 36.626 Previous 698 .052 647 13.423 000 596 Fat 798 952 039 .838 403 -1.081 Protein 6.416 1.609 -.193 -3.987 000 -9.590 Days .032 015 -.119 -2.045 042 - 062 Lactation 527 549 043 960 338 -.556 179 -10.298 2.847 -.204 -3.617 000 -15.913 a. Dependent Variable: CurrentMilk (#2) The Dairy Herd Improvement Cooperative (DHI) in Upstate New York collects and analyzes data on milk production. One question of interest is how to develop a suitable model to predict current milk production from a set of measured variables. The response variable is current milk production in pounds (CurrentMilk). The predictor variables are defined below. Samples are taken once a month during milking. The period that a cow gives milk is called lactation. Number of lactations is the number of times a cow has calved or given milk. The recommended management practice is to have the cow produce milk for about 305 days and then allow a 60-day rest period before beginning the next lactation. The data set, consisting of 199 observations, was compiled from the DHI milk production records. Predictor Variables Previous (Previous month milk production in pounds) Fat (Percent of fat in milk) Protein (Percent of protein in milk) Days (Number of days since present lactation) Lactation (Number of lactations) 179 (Indicator variable, 0 if Days S 79, and 1 if Days > 79) (C) When dealing with the full model analysis, what information do the Unstandardized Coefficients (the Beta's) tell us from the SPSS Coefficients Table? What knowledge is gained from the t-scores, and their corresponding P-values? (6 points)