expenditure and sale simple linear regressi Explanatory Variable Match the explana variables with the ✓ Advertising Expenditure from this descripti Response Variable Running: Hide Time [Choose ] Qu Sales Revenue The number of competitors in the market The company's expenditure on employee benefits The size of the company's office space Number of employees in the company The company's stock price The CEO's years of experience Let's consider a situation where a company wants to understand the relationship between its advertising expenditure and its sales revenue. This is a typical scenario where simple linear regression can be applied. The company hypothesizes that as advertising expenditure increases, sales revenue also increases. To test this hypothesis, the company can collect data on advertising expenditure and sales revenue and perform a simple linear regression analysis. Match the explanatory and response variables with the appropriate information from this description.

Which of the following variables are qualitative variables? the number of students who show up for their class on Zoom colors the number of pairs of shoes in a lady's closet the weights of different types of bricks the names of the people in the cast of a movie the number of windows in a house the names of all the U.S. presidents the length of time it takes to plant a row of carrots

Which table of values represents a linear function? B -4 0. 7 -1 4 4 1 -4 -1 -6 -5 -2 -1 -3 -4 1 -3 4 -2 2] 3. 4. 2)

hw 14   Here is a set of data. 58 64 101 108 133 210 244 248 261 356 404 611 828 880 907 920 931 939 Identify the 5 number summary (min, Q1, median, Q3, max) , , , ,

Match the coefficient of determination to the scatter diagram. The scales on the​ x-axis and​ y-axis are the same for each scatter diagram. (a) R2=0.12​,  (b) R2=0.90​, ​(a) Scatter diagram     .   ​(b) Scatter diagram     .   ​(c) Scatter diagram

The table below gives data from a linear function. Complete parts (a) and (b) below. (a) Fill in the first row of the table, assuming it represents a linear function. Fill in the last row, assuming the pattern for each column continues. Price per bottle, x Number of bottles (dollars) sold, y Number 0.8 40 1 38 1.2 36 Number Number (b) Write a formula which gives y as a function of x. y =

Credit Score An economist wants to determine the relation between one’s FICO score, x, and the interest rate of a 36-month auto loan, y.  The given data represent the interest rate ( in percent) a bank would offer on a 36-month auto loan for various FICOscores.     Credit Score, x Interest Rate(percent),y 545 18.982 595 17.967 640 12.218 675 8.612 705 6.680 750 5.150   a. Find the least-squares regression line (Equation)treating the FICO score, x, as the explanatory variable and the interest rate , y, as the response variable.       b. Determine the linear correlation coefficientbetween compensation and stock return.       c. What type of  linear relation exist between the two variable?       d. Compute the coefficient of determination.       e. Interpret the coefficient of determination.       f. Draw a Scatter diagram of the data.

Analytic Application 1 - NFL Rushing and Fourth Down Conversions Availability Ends OMGMT-4380-500 - Sports Analytics The following bar chart visualizes the top 20 NFL players in the league by Yards Per Carry (their total yardage divided by their number of carries) for the 2021- 2022 season. Using the chart below as your reference, please answer the following questions about the pre-attentive attributes of data visualizations: Y/A by Player and Player Player Jonathick Ch. Davinjah Damien Devin Leonard Mehin Austin Elvonte Al Dillon Derick Ezekiel E Dalvin Cook Devin Singletary Led Fo Melvin Gordon Al D Der Hey Joe Ma Antonio Gon Josh lacobe Avin Kamar Sep 11, 2022 11:59 PM Question 1: What is a pre-attentive attribute? What pre-attentive attribute(s) are present in the chart above? Question 2: In the case of the chart above, is (are) the pre-attentive attribute(s) being used effectively? Why or why not? Question 3: Describe the values on this chart in relation to the baseline along the…

please label each part

Pre Calc Direct and Inverse Variation