In general, if p is the number of predictor variables and k is the number of...

In general, if p is the number of predictor variables and k is the number of groups for the outcome variable in a DA, how many different discriminant functions can be obtained to differentiate among
groups? (This question assumes that the X predictor variables have a determinant that is nonzero; that is, no individual Xi predictor variable can be perfectly predicted from scores on one or more other X
predictor variables.)

Expert Solution

Colby Messinger answered 1 year ago

Multinomial logistic regression can be used on: a)Categorical predictor variables only. b)Both categorical and continuous predictor...

Multinomial logistic regression can be used on: a)Categorical predictor variables only. b)Both categorical and continuous predictor variables. c)Continuous predictor variables only. d)Ordinal predictor variables only.

Review the predictor variables and guess from their definition at what their role might be in...

Review the predictor variables and guess from their definition at what their role might be in a credit decision. Are there any surprises in the data?

Suppose the correlation between two variables is +0.8. If the range of the predictor variable, X...

Suppose the correlation between two variables is +0.8. If the range of the predictor variable, X in the scatter plot is reduced, which of the following could happen? (Assume no additional data are collected and the relationship between the variables is casual) A) correlation, R, between X and Y may decrease. B) Overall range of Y values may increase. C) both (a) and (b) D) neither(a) nor (b)

K, so that P(z<k)=0.6985

EDTA is a hexaprotic system with the p K a values: p K a1 = 0.00...

EDTA is a hexaprotic system with the p K a values: p K a1 = 0.00 , p K a2 = 1.50 , p K a3 = 2.00 , p K a4 = 2.69 , p K a5 = 6.13 , and p K a6 = 10.37 . The distribution of the various protonated forms of EDTA will therefore vary with pH. For equilibrium calculations involving metal complexes with EDTA , it is convenient to calculate the fraction of EDTA...

A researcher performed a regression analysis to predict achievement in physics using the following predictor variables:...

A researcher performed a regression analysis to predict achievement in physics using the following predictor variables: student gender (1=male, 0=female), emotional intelligence (ei), intelligence quotient (iq), verbal SAT (vsat), and math SAT (msat). The results are shown below. Call: lm(formula = physics ~ Gender + iq + ei + vsat + msat, data = physachv) Residuals: Min 1Q Median 3Q Max -18.8370 -5.3765 -0.6288 5.5483 21.7685 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -60.106031 9.784708 -6.143 4.69e-09 ***...

In a regression analysis of a first-order model involving 3 predictor variables and 25 observations, the...

In a regression analysis of a first-order model involving 3 predictor variables and 25 observations, the following estimated regression equation was developed. = 12 - 18x1 + 4x2 + 15x3 Also, the following standard errors and the sum of squares were obtained. sb1 = 3 sb2 = 6 sb3 = 7 SST = 4900 SSE = 1296 If we are interested in testing for the significance of the relationship among the variables (i.e., significance of the model), the critical value...

Which of the following variables are discrete variables and which are continuous variables? (a) the number...

Which of the following variables are discrete variables and which are continuous variables? (a) the number of heads showing up in 12 tosses of a coin (b) the number of accidents that occur at a busy intersection in Phoenix (c) the amount of snowfall in Denver during January (d) the lifetime of a car battery

Suppose k is any natural number, k >= 0. Prove that the number of nodes in...

Suppose k is any natural number, k >= 0. Prove that the number of nodes in any binomial tree of height k is exactly 2^k.

Problem 1 14.59 Is the number of square feet of living space a good predictor of...

Problem 1 14.59 Is the number of square feet of living space a good predictor of a house’s selling price? The following data show the square footage and selling price for fifteen houses in Winston Salem, North Carolina (Zillow.com, April 5, 2015). Size (1000s sq. ft) Selling Price ($1000s) 1.26 117.5 3.02 299.9 1.99 139.0 0.91 45.6 1.87 129.9 2.63 274.9 2.60 259.9 2.27 177.0 2.30 175.0 2.08 189.9 1.12 95.0 1.38 82.1 1.80 169.0 1.57 96.5 1.45 114.9 What...

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