CALCULUS 4E (HC) W/ ACHIEVE ACCESS
4th Edition
ISBN: 9781319379421
Author: Rogawski
Publisher: MAC HIGHER
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Chapter 9, Problem 10CRE
To determine
Find the solution of the given initial value problem using separation of variable.
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Q1. Solve the initial value problem of first order lineardifferential equation:xௗ௬ௗ௫+ y = e௫; y(1) = 2.
b) Data was collected on 344 corporate executives to find out the effect of MBA degree
and work experience on their salary. The following model was estimated:
Y; = 2.3501 + 3.6306D, – 2.6354 D2i + 0.8527 X; + 1.634 (D, * X);
t =
(1.263)
(2.1805) (- 3.457)
(7.605)
(2.98)
R? = 0.8968
Y: Annual Income in Lakhs of Rupees
Di and D2 are MBA and gender dummies respectively
X: Work experience in years
DI = 1 if one has MBA degree
= 0 otherwise
D2 = 1 for a female executive
= 0 for a male executive
i. Write the regression equations for female MBA executives and male MBA executives
separately.
ii. Find the mean income level for the reference category and interpret it.
iii. Test the statistical significance of differential intercept coefficient between female
MBA executives and Male MBA executives at 5% level of significance.
iv. Interpret the coefficient of Di*Xi.
v. Now suppose out of this sample of 344 executives, 48 are female MBA executives
and 156 are male MBA executives. To find out the…
Suppose a certain country's population has constant relative birth and death rates of
97 births per thousand people per year and 47 deaths per thousand people per year
respectively. Assume also that approximately 30,000 people emigrate (leave) from
the country every year. Which equation best models the population P = P(t) of the
country, where t is in years?
dP
A. dt = 50P + 30000
dP
B. at
C.
D.
****
dP
at
dP
0.05P - 30000
= 0.05P+ 30000
dt = 0.5P 30000
dp
E. dt = 0.5P - 30
Chapter 9 Solutions
CALCULUS 4E (HC) W/ ACHIEVE ACCESS
Ch. 9.1 - Prob. 1PQCh. 9.1 - Prob. 2PQCh. 9.1 - Prob. 3PQCh. 9.1 - Prob. 4PQCh. 9.1 - Prob. 1ECh. 9.1 - Prob. 2ECh. 9.1 - Prob. 3ECh. 9.1 - Prob. 4ECh. 9.1 - Prob. 5ECh. 9.1 - Prob. 6E
Ch. 9.1 - Prob. 7ECh. 9.1 - Prob. 8ECh. 9.1 - Prob. 9ECh. 9.1 - Prob. 10ECh. 9.1 - Prob. 11ECh. 9.1 - Prob. 12ECh. 9.1 - Prob. 13ECh. 9.1 - Prob. 14ECh. 9.1 - Prob. 15ECh. 9.1 - Prob. 16ECh. 9.1 - Prob. 17ECh. 9.1 - Prob. 18ECh. 9.1 - Prob. 19ECh. 9.1 - Prob. 20ECh. 9.1 - Prob. 21ECh. 9.1 - Prob. 22ECh. 9.1 - Prob. 23ECh. 9.1 - Prob. 24ECh. 9.1 - Prob. 25ECh. 9.1 - Prob. 26ECh. 9.1 - Prob. 27ECh. 9.1 - Prob. 28ECh. 9.1 - Prob. 29ECh. 9.1 - Prob. 30ECh. 9.1 - Prob. 31ECh. 9.1 - Prob. 32ECh. 9.1 - Prob. 33ECh. 9.1 - Prob. 34ECh. 9.1 - Prob. 35ECh. 9.1 - Prob. 36ECh. 9.1 - Prob. 37ECh. 9.1 - Prob. 38ECh. 9.1 - Prob. 39ECh. 9.1 - Prob. 40ECh. 9.1 - Prob. 41ECh. 9.1 - Prob. 42ECh. 9.1 - Prob. 43ECh. 9.1 - Prob. 44ECh. 9.1 - Prob. 45ECh. 9.1 - Prob. 46ECh. 9.1 - Prob. 47ECh. 9.1 - Prob. 48ECh. 9.1 - Prob. 49ECh. 9.1 - Prob. 50ECh. 9.1 - Prob. 51ECh. 9.1 - Prob. 52ECh. 9.1 - Prob. 53ECh. 9.1 - Prob. 54ECh. 9.1 - Prob. 55ECh. 9.1 - Prob. 56ECh. 9.1 - Prob. 57ECh. 9.1 - Prob. 58ECh. 9.1 - Prob. 59ECh. 9.1 - Prob. 60ECh. 9.1 - Prob. 61ECh. 9.1 - Prob. 62ECh. 9.1 - Prob. 63ECh. 9.1 - Prob. 64ECh. 9.1 - Prob. 65ECh. 9.1 - Prob. 66ECh. 9.1 - Prob. 67ECh. 9.1 - Prob. 68ECh. 9.1 - Prob. 69ECh. 9.1 - Prob. 70ECh. 9.1 - Prob. 71ECh. 9.2 - Prob. 1PQCh. 9.2 - Prob. 2PQCh. 9.2 - Prob. 3PQCh. 9.2 - Prob. 4PQCh. 9.2 - Prob. 1ECh. 9.2 - Prob. 2ECh. 9.2 - Prob. 3ECh. 9.2 - Prob. 4ECh. 9.2 - Prob. 5ECh. 9.2 - Prob. 6ECh. 9.2 - Prob. 7ECh. 9.2 - Prob. 8ECh. 9.2 - Prob. 9ECh. 9.2 - Prob. 10ECh. 9.2 - Prob. 11ECh. 9.2 - Prob. 12ECh. 9.2 - Prob. 13ECh. 9.2 - Prob. 14ECh. 9.2 - Prob. 15ECh. 9.2 - Prob. 16ECh. 9.2 - Prob. 17ECh. 9.2 - Prob. 18ECh. 9.2 - Prob. 19ECh. 9.2 - Prob. 20ECh. 9.2 - Prob. 21ECh. 9.2 - Prob. 22ECh. 9.2 - Prob. 23ECh. 9.2 - Prob. 24ECh. 9.2 - Prob. 25ECh. 9.2 - Prob. 26ECh. 9.3 - Prob. 1PQCh. 9.3 - Prob. 2PQCh. 9.3 - Prob. 3PQCh. 9.3 - Prob. 4PQCh. 9.3 - Prob. 1ECh. 9.3 - Prob. 2ECh. 9.3 - Prob. 3ECh. 9.3 - Prob. 4ECh. 9.3 - Prob. 5ECh. 9.3 - Prob. 6ECh. 9.3 - Prob. 7ECh. 9.3 - Prob. 8ECh. 9.3 - Prob. 9ECh. 9.3 - Prob. 10ECh. 9.3 - Prob. 11ECh. 9.3 - Prob. 12ECh. 9.3 - Prob. 13ECh. 9.3 - Prob. 14ECh. 9.3 - Prob. 15ECh. 9.3 - Prob. 16ECh. 9.3 - Prob. 17ECh. 9.3 - Prob. 18ECh. 9.3 - Prob. 19ECh. 9.3 - Prob. 20ECh. 9.3 - Prob. 21ECh. 9.3 - Prob. 22ECh. 9.3 - Prob. 23ECh. 9.3 - Prob. 24ECh. 9.3 - Prob. 25ECh. 9.3 - Prob. 26ECh. 9.3 - Prob. 27ECh. 9.3 - Prob. 28ECh. 9.3 - Prob. 29ECh. 9.4 - Prob. 1PQCh. 9.4 - Prob. 2PQCh. 9.4 - Prob. 3PQCh. 9.4 - Prob. 1ECh. 9.4 - Prob. 2ECh. 9.4 - Prob. 3ECh. 9.4 - Prob. 4ECh. 9.4 - Prob. 5ECh. 9.4 - Prob. 6ECh. 9.4 - Prob. 7ECh. 9.4 - Prob. 8ECh. 9.4 - Prob. 9ECh. 9.4 - Prob. 10ECh. 9.4 - Prob. 11ECh. 9.4 - Prob. 12ECh. 9.4 - Prob. 13ECh. 9.4 - Prob. 14ECh. 9.4 - Prob. 15ECh. 9.4 - Prob. 16ECh. 9.4 - Prob. 17ECh. 9.4 - Prob. 18ECh. 9.5 - Prob. 1PQCh. 9.5 - Prob. 2PQCh. 9.5 - Prob. 3PQCh. 9.5 - Prob. 4PQCh. 9.5 - Prob. 1ECh. 9.5 - Prob. 2ECh. 9.5 - Prob. 3ECh. 9.5 - Prob. 4ECh. 9.5 - Prob. 5ECh. 9.5 - Prob. 6ECh. 9.5 - Prob. 7ECh. 9.5 - Prob. 8ECh. 9.5 - Prob. 9ECh. 9.5 - Prob. 10ECh. 9.5 - Prob. 11ECh. 9.5 - Prob. 12ECh. 9.5 - Prob. 13ECh. 9.5 - Prob. 14ECh. 9.5 - Prob. 15ECh. 9.5 - Prob. 16ECh. 9.5 - Prob. 17ECh. 9.5 - Prob. 18ECh. 9.5 - Prob. 19ECh. 9.5 - Prob. 20ECh. 9.5 - Prob. 21ECh. 9.5 - Prob. 22ECh. 9.5 - Prob. 23ECh. 9.5 - Prob. 24ECh. 9.5 - Prob. 25ECh. 9.5 - Prob. 26ECh. 9.5 - Prob. 27ECh. 9.5 - Prob. 28ECh. 9.5 - Prob. 29ECh. 9.5 - Prob. 30ECh. 9.5 - Prob. 31ECh. 9.5 - Prob. 32ECh. 9.5 - Prob. 33ECh. 9.5 - Prob. 34ECh. 9.5 - Prob. 35ECh. 9.5 - Prob. 36ECh. 9.5 - Prob. 37ECh. 9.5 - Prob. 38ECh. 9.5 - Prob. 39ECh. 9.5 - Prob. 40ECh. 9.5 - Prob. 41ECh. 9.5 - Prob. 42ECh. 9.5 - Prob. 43ECh. 9.5 - Prob. 44ECh. 9.5 - Prob. 45ECh. 9.5 - Prob. 46ECh. 9.5 - Prob. 47ECh. 9.5 - Prob. 48ECh. 9.5 - Prob. 49ECh. 9 - Prob. 1CRECh. 9 - Prob. 2CRECh. 9 - Prob. 3CRECh. 9 - Prob. 4CRECh. 9 - Prob. 5CRECh. 9 - Prob. 6CRECh. 9 - Prob. 7CRECh. 9 - Prob. 8CRECh. 9 - Prob. 9CRECh. 9 - Prob. 10CRECh. 9 - Prob. 11CRECh. 9 - Prob. 12CRECh. 9 - Prob. 13CRECh. 9 - Prob. 14CRECh. 9 - Prob. 15CRECh. 9 - Prob. 16CRECh. 9 - Prob. 17CRECh. 9 - Prob. 18CRECh. 9 - Prob. 19CRECh. 9 - Prob. 20CRECh. 9 - Prob. 21CRECh. 9 - Prob. 22CRECh. 9 - Prob. 23CRECh. 9 - Prob. 24CRECh. 9 - Prob. 25CRECh. 9 - Prob. 26CRECh. 9 - Prob. 27CRECh. 9 - Prob. 28CRECh. 9 - Prob. 29CRECh. 9 - Prob. 30CRECh. 9 - Prob. 31CRECh. 9 - Prob. 32CRECh. 9 - Prob. 33CRECh. 9 - Prob. 34CRECh. 9 - Prob. 35CRECh. 9 - Prob. 36CRECh. 9 - Prob. 37CRECh. 9 - Prob. 38CRECh. 9 - Prob. 39CRECh. 9 - Prob. 40CRECh. 9 - Prob. 41CRECh. 9 - Prob. 42CRECh. 9 - Prob. 43CRECh. 9 - Prob. 44CRECh. 9 - Prob. 45CRECh. 9 - Prob. 46CRECh. 9 - Prob. 47CRECh. 9 - Prob. 48CRECh. 9 - Prob. 49CRECh. 9 - Prob. 50CRECh. 9 - Prob. 51CRECh. 9 - Prob. 52CRE
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- Two chemical engineers, A and B, are working independently to develop a model to predict the viscosity of a product (y) from the pH (x1) and the concentration of a certain catalyst (x2). Each engineer has fit the linear model y =A +hr, + B;x; +r The engineers have sent you output summarizing their results: Engineer A Predictor Constant тР Coef SE Coef 199.2 0.5047 394.7 0.000 -1.569 pH Concent. -4.730 0.5857 -8.08 0.000 0.4558 -3.44 0.007 Engineer B Predictor Coef Constant 199.0 0.548 SE Coef T 363.1 0.000 pH Concent. -3.636 1.952 -1.256 1.983 -0.63 0.544 -1.86 0.112 The engineers have also sent you the following scatterplots of pH versus concentration, but forgot to put their names on them. Concentration Concentration Which plot came from which engineer? How do you know? Which engineer's experiment produced the more reliable results? Explain. a. b.arrow_forwardprovide complete solutionarrow_forwardA sociologist examines the relationship between the poverty rate and several socioeconomic factors. For the 50 states and the District of Columbia (n = 51), he collects data on the poverty rate (y, in %), the percent of the population with at least a high school education (x1), median income (x2, in $1000s), and the mortality rate per 1,000 residents (x3). He estimates the following model as y= Bo + ß1 Education + Bß2 Income + B3 Mortality + ɛ. The following ANOVA table shows a portion of the regression results. df MS F Regression 416.2 138.73 95.7 Residual 47 68.1 1.45 Total 50 484.3 Coefficients Standard Error t-stat р-value Intercept 57.8 4.3 13.44 1.65E-16 Education -0.3 0.05 -6 5.45E-10 Income -0.2 0.01 -20 6.02E-10 Morality 0.12 0.27 0.44 0.6438 Which of the following is the value of the standard error of the estimate? Multiple Choice 1.2 138.73arrow_forward
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