Question 75 ptsFigure 1:ACDE12XiX2Number to Make:OBJ. FN. VALUE:Unit profit:$4$36.7Constraints:UsedAvailable8.13401210120103.115Figure 1 demonstrates an Excel spreadsheet that is used to model the following linearprogramming problem:Маx:4 X1 + 3 X2Subject to:3 X1 +5 X2 s 4012 X1 + 10 X2 < 120X1 > 15X1, X2 2 0Note: Cells B3 and C3 are the designated cells for the optimal values of X1 and X2, respectively,while cell E4 is the designated cell for the objective function value. Cells D8:D10 designate theleft-hand side of the constraints.Refer to Figure 1. What cell reference designates the Target Cell in "Solver"?

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Answered: Question 7 5 pts Figure 1: В D E 1 2 X1…

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 31EQ

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question 32 Statistics students in Oxnard College sampled 10 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (xx) Cost(yy) 575 95.25 351 60.65 788 137.2 600 108 393 75.95 897 155.55 504 76.6 571 86.65 516 79.4 986 166.9 A student calculates a linear modely = __________x +_____________ . (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 829.Cost = $___________- (Please show your answer to 2 decimal places.)
QUESTION 3 The Research Unit for Cecilion Supermart conducted an experiment to estimate the strength of thecarrier bag from the starch-based biofilms made from two different jicamas (sengkuang) of type Aand type B. However, the researcher claims that jicama type A produces more strength comparedto type B. To support this claim, 10kg weight item was put into 100 carrier bags made from jicamatype A and 200 carrier bags made from jicama type B were randomly selected. As a result, 8 bagsfrom jicama type A burst while 12 bags from jicama type B burst. Calculate a 95% confidenceinterval for the difference in true proportion of the carrier bags which burst between jicama type Aand type B. Give comment on the parameter estimate.
Question 19: Based on the data shown below, a statistician calculates a linear model y=−2.23x+48.46y=-2.23x+48.46. x y 4 40.7 5 36.2 6 34.1 7 34.3 8 28.9 9 28.3 10 27.8 11 25.5 12 19.4 13 19.9 Use the model to estimate the y-value when x=4x=4y = Use the model to estimate the y-value when x=8x=8y =
Question 22: A least squares regression line : A- may be used to predict a value of y if the corresponding x value is given. B- implies a cause-effect relationship between c and y. C- can only be determined if a good linear relationship exists between x and y . D- All of these answers are correct.
Question 18: Let YY represent the profit (or loss) for a certain company XX years after 1960. Based on the data shown below, a statistician calculates a linear model Y=0.54X+5.85Y=0.54X+5.85. x y 4 7.78 5 9.2 6 8.72 7 9.14 8 9.86 9 12.48 10 11.3 11 10.52 12 12.44 13 11.56 14 13.68 15 14.4 16 14.72 17 14.64 18 15.66 19 16.08 Use the model to estimate the profit in `1965y =
question 4 Chen et al. (2000) examined the foraging behaviour of northern elephant seals (Mirounga angustirostris) that breed along the west coast of Mexico and the USA. They attached platform satellite transmitter terminals (PTTs) to 22 male seals and recorded, for each seal, the distance (km) to its main feeding area offshore and the amount of time (days) it spent at the feeding area. The results are presented below: What two null hypotheses are being tested with the output shown above? What statistical conclusions would you draw about these hypotheses? Complete the regression equation by filling in the blanks (to the nearest 3 decimal places). duration = + * distance What is one biological interpretation of this relationship between duration and distance ? What % of the variation in duration at main feeding area was explained by distance to feeding area?
Question Two A Deputy Registrar at a certainty university conducted a Chi-Square test of association to establish whether or not employee grade and level of absenteeism were associated. Table 2 below shows part of the results which were obtained. Table 2: Cross tabulation of employee grade and level of absenteeism Contingency Tables Grade LAbsence 1 2 3 Total low Observed 8 1 0 9 Expected 2.90 3.48 2.61 9.00 high Observed 2 11 9 22 Expected 7.10 8.52 6.39 22.00 Total Observed 10 12 9 31 Expected 10.00 12.00 9.00 31.00 2.1 State the appropriate measurement scales for the variables. 2.2 State the null and alternative hypotheses. 2.3 Calculate the expected frequency corresponding to a Grade 3 academic with a high level of absenteeism. 2.4 Find the Chi-Square critical value and test…
Question 2: The estimated regression equation for a model involving two independent variables and 65 observations is: yhat = 55.17+1.1X1 -0.153X2 Other statistics produced for analysis include: SSR = 12370.8, SST = 35963.0, Sb1 = 0.33, Sb2 = 0.20.a. Interpret b1 and b2 in this estimated regression equation b. Predict y when X1 = 65 and X2 = 70. c. Compute R-square and Adjusted R-Square. d. Comment on the goodness of fit of the model. e. Compute MSR and MSE. f. Compute F and use it to test whether the overall model is significant using a p-value (α = 0.05). g. Perform a t test using the critical value approach for the significance of β1.Use a level of significance of 0.05. h. Perform a t test using the critical value approach for the significance of β2.Use a level of significance of 0.05.
Question 7 Consider a cohort study to compare the mortality rate of myocardial infarction (MI) in men with sedentary work (exposed group) to men with physically active work (unexposed). If in the exposed, there were 36,000 person (man) years of observation and 126 deaths whereas the unexposed had 24,000 man-years of observation and 44 deaths. Compute the following a) Mortality rate in each cohort? b) What is the relative risk of dying, comparing these 2 groups? c) What is the attributable risk of sedentary work? d) What is the attributable benefit of physical activity? e) If we assume that MI is associated with the mortality in this cohort (causality), what proportion of the disease in the higher group is potentially preventable?
Question 5: A college is interested in if the year of receiving high-level education (college and above) influences students’ salaries when they join the working field. The college randomly selected 4 students who recently received a full- time work offer and collected their year of receiving high-level education and salary per week. The raw data is: Participant Year of high-level education Salary per week Participant 1 4 1150 Participant 2 5 1300 Participant 3 7 1600 Participant 4 2 750 Plot the scatterplot and label the participants. Calculate the correlation coefficient between the year of high-level education and salary per week. Calculate the regression equation using the year of receiving high-level education to predict the salary per week. If a student graduate from college and graduate school in a total of 6 years, what is this student’s predicted salary per week?
Question 3 A) Human resource controls represent one of the principles of internal control activities. Specify three common approaches of implementing of controls of human resource. B) Mr. Ahmad, the owner of Bundle Sdn Bhd, has adopted the perpetual inventory system instead of periodic inventory system to ensure the company’s control over the inventory. In addition, he plans to perform a physical stock count every quarter until he is confidence with the reliability of the perpetual inventory system. Required: a) Explain the difference between perpetual inventory system and periodic inventory system.
Question 1 The UWI Open Campus has commissioned a study to determine how student will perform in ECON3080 based on the hours of studying each semester. Students are separated by gender and the results of the study are given below: Males Females Hours Studying ECON3080 Grade Hours Studying ECON3080 Grade 377 92 182 51 280 100 99 41 187 99 44 38 225 62 387 90 157 91 200 75 280 99 331 48 80 32 263 78 374 88 377 93 141 59 297 49 385 72 229 88 238 30 254 80 105 94 347 80 180 53 119 55 288 48 142 67 241 96 293 45 72 57 318 36 314 82 319 94 196 81 60 60 209 79 319 42 306 79 184 81 167 51 193 56 380 44 239 34 389 88 144 49 122 49 97 100 354 76 337…

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