Using the information provided: -Find R2 value of the linear regression equation (Write answer to four...

Using the information provided:

-Find R² value of the linear regression equation (Write answer to four significant figures.)

-Find volume of 23.50g sample of liquid (Write answer to four significant figures.)

-Calculate the percent error of the experiment if the actual density of the liquid is 1.67 g/mL.(Write answer to three significant figures.)

Density of uknown liquid graphically: 2.167

Mass of empty beaker(g): 35.648

Mass of Liquid and beaker(g)	Volume of liquid(mL)
42.148	3.00
47.748	7.00
51.948	11.00
65.898	17.00
73.248	21.00

Expert Solution

genius_generous answered 3 years ago

Run a linear regression using Excel’s Data Analysis regression tool. Construct the linear regression equation and...

Run a linear regression using Excel’s Data Analysis regression tool. Construct the linear regression equation and determine the predicted total sales value if the number of promotions is 6. Is there a significant relationship? Clearly explain your reasoning using the regression results. Number of Promotions Total Sales 3 2554 2 1746 11 2755 14 1935 15 2461 4 2727 5 2231 14 2791 12 2557 4 1897 2 2022 7 2673 11 2947 11 1573 14 2980

Linear regression equation

Linear regression equation also find accuracy Obtain regression equation of Y on X and estimate Y when X=55 from the following

Using the information provided in the following table, find the value of each asset: The value...

Using the information provided in the following table, find the value of each asset: The value of Asset A is The value of Asset B The value of Asset C The value of Asset D The value of Asset E Asset End of Year Amount Appropriate required return A 1 $ 7,000 8% 2 7,000 3 7,000 B 1 through∞ $ 500 4% C 1 $ 0 5% 2 0 3 0 4 0 5 48,000 D 1 through...

For each exercise, find the equation of the regression line and find the y’ value for...

For each exercise, find the equation of the regression line and find the y’ value for the specified x value. Remember that no regression should be done when r is not significant. 27.Class Size and Grades School administrators wondered whether class size and grade achievement (in percent) were related. A random sample of classes revealed the following data. No. of students 15 10 8 20 18 6 Avg. grade (%) 85 90 82 80 84 92 Find y′ when x...

Curve Fitting and Linear Regression a) Determine the linear regression equation for the measured values in...

Curve Fitting and Linear Regression a) Determine the linear regression equation for the measured values in the table above. ?? 1 2 3 4 Value 1 (????) 0 3 7 10 Value 2 (????) 2 4 9 11 b) Plot the points and the linear regression curve. c) Determine the Linear Correlation Coefficient (i.e., Pearson’s r) for the dataset in the table above.

Find the linear regression equation (line of best fit), determine the correlation, and then make a...

Find the linear regression equation (line of best fit), determine the correlation, and then make a prediction. 1. The table below gives the amount of time students in a class studied for a test and their test scores. Graph the data on a scatter plot, find the line of best fit, and write the equation for the line you draw. Hours Studied 1 0 3 1.5 2.75 1 0.5 2 Test Score 78 75 90 89 97 85 81 80...

Use the following linear regression equation to answer the questions. x3 = −16.2 + 3.8x1 +...

Use the following linear regression equation to answer the questions. x3 = −16.2 + 3.8x1 + 9.6x4 − 1.2x7 (a) Which variable is the response variable? x7 x1 x3 x4 Which variables are the explanatory variables? (Select all that apply.) x4 x7 x1 x3 (b) Which number is the constant term? List the coefficients with their corresponding explanatory variables. constant x1 coefficient x4 coefficient x7 coefficient (c) If x1 = 3, x4 = -1, and x7 = 1, what is...

Use the following linear regression equation to answer the questions. x1 = 1.3 + 3.6x2 –...

Use the following linear regression equation to answer the questions. x1 = 1.3 + 3.6x2 – 8.3x3 + 2.0x4 (Use the following linear regression equation to answer the questions. x1 = 1.3 + 3.6x2 – 8.3x3 + 2.0x4 (a) Which variable is the response variable? x3x2 x1x4 Which variables are the explanatory variables? (Select all that apply.) x3x2x4x1 (b) Which number is the constant term? List the coefficients with their corresponding explanatory variables. constant x2 coefficient x3 coefficient x4 coefficient (c)...

Use the following linear regression equation to answer the questions. x1 = 1.1 + 3.0x2 –...

Use the following linear regression equation to answer the questions. x1 = 1.1 + 3.0x2 – 8.4x3 + 2.3x4 Suppose x3 and x4 were held at fixed but arbitrary values and x2 increased by 1 unit. What would be the corresponding change in x1? Suppose x2 increased by 2 units. What would be the expected change in x1? Suppose x2 decreased by 4 units. What would be the expected change in x1? (e) Suppose that n = 13 data points...

Use the following linear regression equation to answer the questions. x3 = −18.2 + 4.4x1 +...

Use the following linear regression equation to answer the questions. x3 = −18.2 + 4.4x1 + 8.2x4 − 1.2x7 Which number is the constant term? List the coefficients with their corresponding explanatory variables. constant x1 coefficient x4 coefficient x7 coefficient If x1 = 3, x4 = -9, and x7 = 6, what is the predicted value for x3? (Round your answer to one decimal place.) x3 = Suppose x1 and x7 were held at fixed but arbitrary values. If x4...

Question