x y 1 10 4 5 5 3.5 7 2 10 1.5 Which description best fits the
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Which description best fits the regression model for the data?
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- 6, 5. Kathy painted a picture and posted it on a social media site. The table shows the number of people who responded that they liked the picture since Kathy posted it. Time Since Picture Was Posted 5. 7. (days) Number of Likes 11 21 38 Write the regression equation that best models the data. a. y = 0.96(1. 55)* b. y = 2.07(1. 38)* c. y = 0.536x – 0.857x + 1.81 d. y = 1.38x´ + 0.30x + 0. 43please quickly thanks !!!!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=
- The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states, where is thousands of automatic weapons and y is murders per 100,000 residents. 11.6 8.4 6.8 3.7 2.8 2.6 2.6 0.8 y 13.7 10.9 9.7 7.1 6.4 6.3 5.9 4.4 Use your calculator to determine the equation of the regression line and write it in the y = a + bx form. Round to 2 decimal places. According to this model, how many murders per 100,000 residents can be expected in a state with 2.4 thousand automatic weapons? Round to 3 decimal places. According to this model, how many murders per 100,000 residents can be expected in a state with 3.7 thousand automatic weapons? Round to 3 decimal places.Explain how to find seA social scientist would like to analyze the relationship between educational attainment (in years of higher education) and annual salary (in $1,000s). He collects data on 20 individuals. A portion of the data is as follows: Salary 43 49 1 35 Education 7 7 Click here for the Excel Data File a. Find the sample regression equation for the model: Salary Be + B1Education + e. (Round answers to 2 decimal places.) Salary = 37.21 + 6.68 b. Interpret the coefficient for Education. Education As Education increases by 1 year, an individual's annual salary is predicted to increase by $8,590. As Education increases by 1 year, an individual's annual salary is predicted to decrease by $6,680. As Education increases by 1 year, an individual's annual salary is predicted to decrease by $8,590. As Education increases by 1 year, an individual's annual salary is predicted to increase by $6,680. c. What is the predicted salary for an individual who completed 7 years of higher education? (Round coefficient…
- 4) How to conduct multiple regression in Excel (Provide the steps)? Driving Experience (years) Monthly Auto Insurance Premium 5 $64 2 87 12 50 9 71 15 44 6 56 25 42 16 60 Does the insurance premium depend on the driving experience or does the driving experience depend on the insurance premium? Do you expect a positive or a negative relationship between these two variables?Which of the multivariate regression parameters listed below would be best interpreted as: the proportion of variation in the dependent variable explain by all the independent variables in the model. a b1 X1 R2Bluereef real estate agent wants to form a relationship between the prices of houses, how many bedrooms, House size in sq ft and Lot Size in sq ft. The data pertaining to 100 houses were processed using MINITAB and the following is an extract of the output obtained: The regression equation is Price = B + ¢Bedroom + yHouse Size + ALot Size Predictor Coef SE Coef T P Constant 37718 14177 2.66 ** Bedrooms 2306 6994 0.33 0.742 House Size 74.3 52.98 0.164 Lot Size -4.36 17.02 -0.26 0.798 S= 25023 R-Sq=56.0% R-Sq (adj) =54.6% Source DF MS F P Regression Residual 76501718347 25500572782 *** **** Error 96 60109046053 626135896 Total 99 d) Is y significantly different from -0.5? e) Perform the F test at the 1% level, making sure to state the null and alternative hypotheses. f) Give an interpretation to the term “R-sq" and comment on its value.
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