Show work 3.The function g(x) can be represented as g(x) = -x² – 6x – 2.Some of the values of the quadratic function h(x) are shown in thetable.h(x)2-8-1-221444-2-8Which statement is a true comparison of the properties of g(x) andh(x)?The graph of function g(x) has a higher maximum value but alower y-intercept value than the graph of function h(x).The graph of function g(x) has a lower maximum value andlower y-intercept value than the graph of function h(x).The graph of function g(x) has a lower maximum value but ahigher y-intercept value than the graph of function h(x).The graph of function g(x) has a higher maximum value and ahigher y-intercept value than the graph of function h(x).

We will find maximum value and y intercept of g(x) and then compare that with values of h(x) from…

Answered: -2 -1 -2 1 4 2 4 3. 2 4 -2 5 -8 Which…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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2:58 K One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Click the icon to view the housing data. (a) Which variable is the explanatory variable? Square Footage O Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. O A. Ау 4500- ******** 1000+ 1000 Yes No 4500 B. Q AX 4500- Q ||| 1000+ 150 = 750 C. 750- r= 0.905 (Round to three decimal places as needed.) (d) Is there a linear relation between square footage and asking price? 150+ O 1000 LTE 2.4G. 30% (c) Determine the linear correlation coefficient between square footage and asking price. 1 4500 Q D. Ay 750- (e) Find the least-squares regression line treating square footage as the explanatory variable. y = 0.16 x + (16.49 (Round the slope to three decimal places as…
e. Which
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Assume that T is a linear transformation. Find the standard matrix of T. T: R² →R² first rotates points through - 3π 4 radians and then reflects points through the horizontal x₁-axis. H A = (Type an integer or simplified fraction for each matrix element. Type exact answers, using radicals as needed.)
Read the box "The Return to Education and the Gender Gap." The Return to Education and the Gender Gap Dependent variable: logarithm of Hourly Earnings. * Regressor Years of education Female Female x Years of education Potential experience Potential experience² Midwest South West Intercept (1) 0.1035** (0.0009) 1.533" (0.012) 0.208 (2) 0.1050** (0.0009) -0.263** (0.004) 1.629" (0.012) 0.1001" (0.0011) 0.258 -0.432** (0.024) 0.0121" (0.0017) 1.697** (0.016) (4) 0.1013** (0.0012) 0.258 -0.451" (0.024) 0.0134" (0.0017) 0.0136** (0.0012) -0.000184** (0.000021) -0.095" (0.006) -0.092** (0.006) -0.028"* (0.007) 1.328" R² The sample size is 52,970 observations for each regression. Female is an indicator variable that equals 1 for women and 0 for men. Midwest, South, and West are indicator variables denoting the region of the United States (0.023) 0.267
Explain the term Linearity?
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esc You may need to use the appropriate technology to answer this question. The prices (in $) of Rawlston, Inc. stock (y) over a period of 12 days, the number of shares (in 100s) of company's stocks sold (x₁), and the volume of exchange (in millions) on the New York Stock Exchange (x₂) are shown below. ? @ Day 2 1 3 4 5 2 86.00 944 11.50 6 7 8 9 y 10 87.50 951 10.75 84.00 939 11.50 x₁ 83.00 929 12.00 84.50 934 11.75 84.00 936 12.75 82.00 933 80.00 939 78.50 926 x2 Regression 79.00 899 16.75 Excel was used to determine the least squares regression equation. Part of the computer output is shown below. ANOVA Residual 11 77.00 874 17.25 Total 12 77.50 869 17.25 # 13.50 3 14.25 15.25 df SS 10.8542 2 121.0625 60.5312 50.1910 131.9167 f4 $ 4 MS 1.2060 f5 % 5 F f6 4- Significance F 6 f7 0.0000 ♫+ & 7 f8 IAA * fg 8 11 DII hp ( f10 DDI 11 (12 insert prt sc delete backspace home num lock end 1:18 PM 11/29/2022 pg up 00 pg dn
I only need help on part D and E it’s all one questions , Not graded , I don’t understand it.
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