7.3 Compute P (x > ) from the cdf of X. 7.4 Compute P (x > |from the pdf of X.

As part of a study at a large university, data were collected on n = 224 freshmen computer science (CS) majors in a particular year. The researchers were interested in modeling y, a student's grade point average (GPA) after three semesters, as a function of the following independent variables (recorded at the time the students enrolled in the university): X 1= average high school grade in mathematics (HSM) X 2 = average high school grade in science (HSS) X 3 = average high school grade in English (HSE) X 4 = SAT mathematics score (SATM) x 5 = SAT verbal score (SATV) A first-order model was fit to the data with the following results: SOURCE DF MS F VALUE PROB>F MODEL 28.64 5.73 11.69 0001 ERROR 218 106 82 0.49 TOTAL 223 135.46 ROOT MSE DEP MEAN 0.700 R-SQUARE 0.211 4.635 ADJ R-SQ 0.193 PARAMETER STANDARD T FOR O VARIABLE ESTIMATE ERROR PARAMETER -0 PROB> ITI INTERCEPT 2.327 0.039 5.817 0.0001 0.0003 XI HSM) X2 (HSS) X3 (HSE) X4 (SATM) X5 (SATV) 0.146 0.037 3.718 a.036 0.038 0.950 0.3432…

drivers of that Age - ]]], [16 – 17,1,55], [18 - 19,2,30], [20 - 24, 3, A traffic safety organization has compiled data in an urban region of Canada on the rate of non-fatal vehicle injury accidents, y, as a function of the age of the driver, x. The data is shown below. It is assumed that an injury accident affects either the driver or passengers or others external to the vehicle and does not result in death. Age Range of x, Designated Age Driver Category of Driver y, Number of Injury Accidents per 10 million km driven by drivers of that Age 16-17 1 55 18-19 2 30 20-24 3 24 25-29 4 22 30-39 5 14 40-49 6 13 50-59 7 12 60-69 8 10 70-79 9 14 10

In a snow geese feeding trial, a model was constructed relating gosling** weight change (Y), to digestion efficiency (X1) which is measured on a scale from 1 to 10, depending on how well nutrition is absorbed by the goosling, and diet (either plants or duck chow). Using Bi, etc. to represent the coefficients of independent variables, and defining any independent variables you create and use, write out the following: [WRITE OUT THE FULL MODELS IN SINGLE EQUATIONS IN EACH SECTION BELOW, NOT BROKEN DOWN INTO SEPARATE SUB-EQUATIONS] Define your independent variables here a) a first order model that allows for different intercepts but the same slope for each diet b) a first order model that allows for different slopes and intercepts for each diet (c) a first order model that allows for different slopes and the same intercept for each diet

Complete the tables for different values of and â = 1 - ô. From the tables, which value of appears to give the maximum value of the product pa. p. A pq р q=1-p 0.45 0.46 0.47 0.48 0.49 0.50 (Type integers or decimals.) Complete the table below. ^^ Р q=1-p pq 0.51 0.52 0.53 0.54 0.55 (Type integers or decimals.)