TWOSDAYLinear Functions ChallengeI.y = 22. y = 2x2222al12+2212ɔ22922222228222a9221221231242222222a992

As given by the question There are given that the linear function: y=2 That means, the graph of the…

Answered: I. y = 2 2. y = 2x

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter2: Equations And Inequalities

Section2.3: Quadratic Equations

Problem 16E

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Variable Coef 9.853 Std. Error t-value A study of 30 secretaries' yearly salaries (in thousands of dollars) was done. The researchers Intercept want to predict salaries from several other variables. The variables considered to be potential X1 predictors of salary are months of service (x,). years of education (x2), score on a standardized test (x3), words per minute (wpm) typing speed (X4). and ability to take dictation x, in words per minute (Xs). A multiple regression model with all five variables was run. 0.373 26.416 0.112 0.013 8.615 0.066 0.029 2.276 0.093 0.031 3.000 0.008 0.306 0.026 0.063 0.022 2.864 Assume that the residual plots show no violations of the conditions for using a linear regression model. a) What is the regression equation? (Use integers or decimals for any numbers in the expression. Do not round.) ) From this model what is the predicted salary y (in thousands of dollars) of a secretary with 11 years (132 months) of experience, 12h grade education (12 yeurs of…
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The data provided give the number of standby hours based on total staff present, X₁, and remote hours, X₂. Perform a multiple regression analysis using the data provided and determine the VIF for each independent variable in the model. Is there reason to suspect the existence of collinearity? Click the icon to view the data. Determine the VIF for each independent variable in the model. | VIF ₂2 = VIF₁ = (Round to three decimal places as needed.) Is there reason to suspect the existence of collinearity? OA. No. The VIF for each independent variable is less than 5. B. Yes. The VIF for each independent variable is greater than 5. OC. No. The VIF for each independent variable is greater than 5. OD. Yes. The VIF for each independent variable is less than 5. wwwwwww Table of Data Standby Total Staff Hours Present 245 330 274 358 195 197 117 153 115 275 200 236 336 339 321 303 286 329 352 323 Remote Hours 417 655 524 385 349 350 388 153 278 479 Print Done
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