Examples of Independent & Dependent Variables: •xis Rainfall and y is Crop Yield • x is Advertising Expense and y is Sales If the relationship with the dependent variable is in the form of single variables, then it is known as Simple Linear Regression ilustrated as X-> Y. YOU CAN DO IT! Using the 2 examples above, • xis Rainfall and y is Crop Yield •x is Advertising Expense and y is Sales, identify which is the independent variable and which is the dependent variable. Explain why you identified such. Activity No. 1

Examples of Independent & Dependent Variables: •xis Rainfall and y is Crop Yield • x is Advertising Expense and y is Sales If the relationship with the dependent variable is in the form of single variables, then it is known as Simple Linear Regression ilustrated as X-> Y. YOU CAN DO IT! Using the 2 examples above, • xis Rainfall and y is Crop Yield •x is Advertising Expense and y is Sales, identify which is the independent variable and which is the dependent variable. Explain why you identified such. Activity No. 1

Name: Can you help me with this? thanks! ❤ Examples of Independent & Depende
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Description: Can you help me with this? thanks! ❤ Examples of Independent & Dependent Variables:• xis Rainfall and y is Crop Yield• x is Advertising Expense and y is SalesIf the relationship with the dependent variable is in the form of single variables, then it

Algebra and Trigonometry (MindTap Course List)

4th Edition

ISBN:9781305071742

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section1.FOM: Focus On Modeling: Fitting Lines To Data

Problem 12P: Demand for Candy Bars In this problem you will determine a linear demand equation that describes the...

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Cellular Phone Subscribers The table shows the numbers of cellular phone subscribers y in millions in the United States from 2008 through 2013. Source: CTIA- The Wireless Association Year200820092010201120122013Number,y270286296316326336 (a) Find the least squares regression line for the data. Let x represent the year, with x=8 corresponding to 2008. (b) Use the linear regression capabilities of a graphing utility to find a linear model for the data. How does this model compare with the model obtained in part a? (c) Use the linear model to create a table of estimated values for y. Compare the estimated values with the actual data.
Cost of Adding Employees The following table shows the cost, in millions of dollars, to Walmart of adding the given number of employees to each of its superstores.14 E = number of new employees 1 2 3 4 C = cost 89.6 179.2 268.8 358.4 a. Find a linear model for the data in the table. b. Explain in practical terms the meaning of the slope of the linear model you found in part a.
Market supply The following table shows the quantity S of wheat, in billions of bushels, that wheat supplies are willing to produce in a year and offer for sale at a price P, in dollars per bushel. S = quantity of wheat P = price 1.0 1.35 1.5 2.40 2.0 3.45 2.5 4.50 In economics, it is customary to plot S on the horizontal axis and P on the vertical axis, so we will think of S as a variable and of P as a function of S. a. Show that these data can be modeled by a linear function, and find its formula. b. Make a graph of the linear formula you found in part a. This is called the market supply curve. c. Explain why the market supply curve should be increasing. Hint: Think about what should happen when the price increases. d. How much wheat would suppliers be willing to produce in a year and offer for sale at a price of 3.90 per bushel?
Demand for Candy Bars In this problem you will determine a linear demand equation that describes the demand for candy bars in your class. Survey your classmates to determine what price they would be willing to pay for a candy bar. Your survey form might look like the sample to the left. a Make a table of the number of respondents who answered yes at each price level. b Make a scatter plot of your data. c Find and graph the regression line y=mp+b, which gives the number of respondents y who would buy a candy bar if the price were p cents. This is the demand equation. Why is the slope m negative? d What is the p-intercept of the demand equation? What does this intercept tell you about pricing candy bars? Would you buy a candy bar from the vending machine in the hallway if the price is as indicated. Price Yes or No 50 75 1.00 1.25 1.50 1.75 2.00