C Cleve e UXG SimpGSelecType G Type G TypeG SelecGSelecSelecGSelecSelecPyles C M9AninG calcuMy C +genoUntitA 12.app.edmentum.com/assessments-delivery/ua/la/launch/630572/100581833/aHROCHM6Ly9mMi5hcHAuZWRtZW50dWOuY29tL 2xIYXJuZXitdWkvc2Vjb25kYXJ5L3VzZX ItYXNzaWdu.O JCPS Quick LinksGoogle Drive a Google MeetFilm and Theater G. A Classes A Barlow-SCIENCE-V.Applegate-ELA-Voy. A Pyles 6th Math Voy. A Johnson - Related.genoanime - Googl.>>O Previous 2 vO Submit Test* Reader ToolsO Info) Save & ExitNext OUnit Pretest2Type the correct answer in the box. Use numerals instead of words. If necessary, use / for the fraction bar.Simplify the expression.4(-8x + 5) - (-33x- 26) =-7/5ResetNext© 2022 Edmentum. All rights reserved.2 vi 11:42

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Next o Unit Pretest O Submit Test F Reader Tools 2 Type the correct answer in the box. Use numerals instead of words. If necessary, use / for the fraction bar. Simplify the expression. 4(-8x+ 5) - (-33x- 26) = -715 %3D Reset Next

Next o Unit Pretest O Submit Test F Reader Tools 2 Type the correct answer in the box. Use numerals instead of words. If necessary, use / for the fraction bar. Simplify the expression. 4(-8x+ 5) - (-33x- 26) = -715 %3D Reset Next

Algebra and Trigonometry (6th Edition)

6th Edition

ISBN:9780134463216

Author:Robert F. Blitzer

Publisher:Robert F. Blitzer

ChapterP: Prerequisites: Fundamental Concepts Of Algebra

Section: Chapter Questions

Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...

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Q3: Multiple regression using Minitab. interpret the results in bullets step by step Regression Analysis: y versus x1, x2 Regression Equation y 18.4+ 2.010 x1 + 4. 738 x2 Coefficients Term Constant x1 x2 Model Summary Coef -18.4 2.010 4.738 S 12. 7096 Analysis of Variance 1 R-sq 92.55% SE Coef 18.0 0.247 0.948 + T-Value -1.02 8. 13 5.00 R-sq(adj) 90.42% Source DF Adj SS Adj MS F-Value P-Value Regression 2 14052 7026.1 43.50 0.000 x1 1 10689 10688.7 66.17 0.000 x2 4031 4030,9 24.95 0.002 P-Value VIF 0.341 0.000 1.00 0.002 1.00 R-sq(pred) 87.95% + 5
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The scatter plot shows the number of hours worked and money spent on entertainment by each of 21 students. Also shown is the line of best fit for the data. Fill in the blanks below. 70- 65+ 60- 55 Amount of 50. X money spent on 45- 40- entertainment (in dollars) 25 35- 30. 25. 20- 15- 10- 5- 15 Number of hours worked (a) For these 21 students, as the number of hours increases, the amount of money spent tends to (Choose one) ▼ (b) For these 21 students, there is (Choose one) of money spent. correlation between the number of hours worked and the amount (c) Using the line of best fit, we would predict that a student working 8 hours would spend approximately (Choose one) ▼ ·x X -x * Y 5x 7