You are conducting a test of independence for the daim that there is an association between the row variable and the column variable. xY z A 27 72 28 B 25 32 21 What is the chi-square test-statistic for this data? x² = [three decimal accuracy]
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![You are conducting a test of independence for the daim that there is an association between the row
variable and the column variable.
xY z
A 27 72 28
B 25 32 21
What is the chi-square test-statistic for this data?
x² =
[three decimal accuracy]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbd04cd21-8916-42c5-ae98-184766c0ea18%2Fcecd4d2b-87a0-4887-b0de-fd02103c0528%2Fubzpg_processed.png&w=3840&q=75)
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- The following table was generated from the sample data of 10 college students regarding the number of parking tickets the student receives in a semester, the student's age, and the student's GPA. The dependent variable is the student's GPA, the first independent variable (x1) is the number of parking tickets, and the second independent variable (x2) is the student's age. Coefficients Standard Error t-Stat Intercept -1.474701 2.638547 p-value -0.558906 0.596453 Number of Parking Tickets Student's Age 0.278749 0.184913 0.068429 0.135926 4.073572 0.006549 1.360394 0.222592 Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Answer How to enter your answer (opens in new window) ŷ = + x1 + x2 Copy Data Tables Keypad Keyboard ShortcutsCan movie rental revenue be predicted? A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming service rentals (in millions of dollars) for each of the fifteen movies. Also shown are the scatter plot and the least-squares regression line for the data. The equation for this line is y=3.60+0.15x Based on the studio's data and the regression line, answer the following. (a) From the regression equation, what is the predicted rental revenue (in millions of dollars) when the theater revenue is 12.8 million dollars? Round your answer to one or more decimal places. (b) What was the observed rental revenue (in millions of dollars) when the…Please don't provide handwriting solution
- please show me the excel formulas you use if possibleCan movie rental revenue be predicted? A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming service rentals (in millions of dollars) for each of the fifteen movies. Also shown are the scatter plot and the least-squares regression line for the data. The equation for this line is ŷ=3.38+0.15x. Theater revenue, x (in millions of dollars) Rental revenue, y (in millions of dollars) 21.0 5.5 60.9 10.0 61.0 16.0 27.5 3.1 36.7 12.7 30.6 5.7 14.8 2.0 49.6 15.7 13.1 10.2 25.9 8.9 44.1 6.5 66.9 9.5 27.5 11.8 24.9 7.9 6.9 1.5 Send data to calculator Send data to Excel Rental revenue (in millions of dollars) 18- 16+ x 14 12 10+ x 50 60 70…1. Was a dependent or independent t-test used to analyze the data? How do you know?
- A researcher wants to know if the news station a person watches is a factor in the amount of time (in minutes) that they watch. The table below shows data that was collected from a survey. Local FOX CNN 44 55 65 46 62 65 32 24 49 22 67 52 23 63 59 38 63 57 26 18 37 38 29 41 The test-statistic for this data = (Please show your answer to 3 decimal places.) The p-value for this sample = (Please show your answer to 4 decimal places.) The p-value is αα Base on this, we should hypothesis As such, the final conclusion is that... There is sufficient evidence to support the claim that station is a factor in the amount of time people watch the news. There is insufficient evidence to support the claim that station is a factor in the amount of time people watch the news.A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming service rentals (in millions of dollars) for each of the fifteen movies. Also shown are the scatter plot and the least-squares regression line for the data. The equation for this line is y = 3.58 +0.15x. Theater revenue, x (in millions of dollars) 26.4 36.7 43.5 31.6 60.4 14.8 21.3 49.3 7.7 24.8 27.8 12.9 60.6 26.4 66.4 Send data to calculator V Rental revenue, y (in millions of dollars) 8.1 12.4 6.8 5.1 15.4 2.6 5.8 16.5 2.2 9.1 3.3 9.8 10.8 11.7 9.6 Based on the studio's data and the regression line, complete the following. Rental revenue in millions of dollars) 0 X 10 X 20…Right arm 102 101 94 79 79 Left arm 175 169 182 146 144 If the sample data were to result in the scatterplot shown here, what is the value of the linear correlation coefficient r?
- c. Which of the following is the correct graph of the given data? -ОА. 10 1012 12 10 O C. 12- 81012 1012 Using the graph, explain the dramatic difference between the answers to parts (a) and (b). Choose the correct answer below. OA. The point (10,10) is not an outier, but it does have a strong effect on the least squares line and the correlation coefficient. OB. The point (10,10) does not have any effect on the least squares line and the correlation coefficient. OC. The point (10,10) is an outler that has a weak effect on the least squares line and the correlation coefficient. OD. The point (10,10) is an outlier that has a strong effect on the least squares line and the correlation coefficient.Which of the following is not a sample property of OLS? a. Sample covariance of each included variable and the residuals is zero b. the sum of all residuals is zero c. the average of all residuals is zero d. the covariance of x and y is on the regression line.Which of the following correctly represents the coefficient of determination in terms of the variance that is an output from the analysis of variance table? Select one. explained variance + unexplained variance total variance unexplained variance total variance total variance explained variance total variance
