Use StatKey or other technology to find the regression line to predict Y from X using the following data. Click here to access StatKey. Round your answers to three decimal places. The regression equation is Y = i X Y 6 3.5 10 4 8 + i 2 14 12 12 8.5 X.

Use the data below for the PHONES questions that follow. Data compiled from the CIA World Factbook, https://www.cia.gov/. The number of cell phones in use in a country can be approximated from the number of main lines in use in that country by using the regression equation yhat=25+3x which had an R² of about 90%. (The numbers here are millions. For example, "1.2" would represent 1.2 million or 1,200,000.) PHONES 1 At the time the data was collected, the USA had about 314 million cell phones in use and about 150 million main lines in use. What was the residual for the USA? Enter a number of millions. For example, if your answer is 2.85 million enter "2.85". Do not enter anything else such as symbols or words.

Use the data in the table below to complete parts​ (a) through​ (d).   x 37 34 40 46 42 50 62 56 51   y 22 20 25 32 27 30 30 25 28   Find the equation of the regression line.   y=

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Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 1.5.

Use the given data set to answer parts (a) and (b). a. Find the regression equation for the data points. X 5 b. Graph the regression equation and the data points. y -1 10 -10 y B. 10 -10- C. a. Find the regression equation for the data points. ŷ-0 (Use integers or decimals for any numbers in the expression. Round to two decimal places as needed.) b. Graph the regression equation and the data points. O A. 10 T -10- 1 2 -1 3 327 D. -10 4 y 4 28 0

Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary.

Use linear regression to find the equation for the linear function that best fits this data. Click Read Button For online regression calculator.  Round both numbers to two decimal places. Write your final answer in a form of an equation   y=mx+by=mx+b  x 1 2 3 4 5 6 y 74 90 109 123 143 155

Find the intercept (b0) for the regression equation for the following values. Round to 3 decimal places.  Intercept xi yi 33 180 25 170 50 200 65 172 57 160 27 165