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- Annual Revenue million of dollars Franchise value of dollars 244 486 154 237 206 439 171 165 202 330 248 636 241 478 257 656 189 330 247 589 235 428 259 635 164 174 178 190 243 630 Dialog content ends PrintDone The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The accompanying data table gives the value and the annual revenue for 15 major sport teams. Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated. b. Use the least-squares method to determine the regression coefficients b0 and b1. b0 = enter your response here b1 = enter your response here (Round to two decimal places as needed.)Linear Modeling 1. Some phone apps measure the number of steps taken during a period of time. John downloaded an app that reported data in a table like this: Time Steps Steps taken taken (minutes) 600 4000 20 2400 25 3000 4200 3000 35 2000 1000 10 20 30 40 Minutes (a) What are the variables of the problem? Identify independent and/or dependent variables of the problem if any. (b) Use the information from the table to graph the number of steps that John has taken over time. Connect the points on your graph. Does this curve or is it a line? (c) Explain why the graph tells you that John is walking at a constant pace. МacВook Air DII DD 80 F10 F9 F6 F7 F8 F5 F2 F3 F4 & 23 2$ 3 4 5 6. 7 8 9. E R Y U F H J K L. * 00What is qualitative data? A Data that can be measured and expressed numerically B C D Data that is based on observations, descriptions, and opinions Data that is collected through experiments and surveys Data that is of high quality
- Critically discourse comply or explain model of corporate governanceInterpreting technology: A biologist computed a least-squares regression line for predicting the brain weight in grams of a bird from its body weight in grams. The results are presented in the following Excel output. Coefficients Intercept 3.68952298 Body Weight 0.07800925 Part: 0 / 2 Part 1 of 2 Write the equation of the least-squares regression line. Use the full accuracy shown in the Excel output (do not round your answers). Regression line equation: y = XStudy Time (Hours) Exam Score (Points) 0 10 2 30 4 50 6 70 8 90 100 b. Which is the dependent variable and which is the independent variable? Dependent variable: Exam score Independent variable: Study time c. Summarize the data in equation form (assuming a decrease from 4 hours of study time to 2 hours) Instructions: Enter your answers as whole numbers. )( Exam Score=