The following data gives the number of employees at the bookstore and the number of minutes students wait inline to buy books at the beginning of the term. The independent variable is the number of employees and thedependent variable is the number of minutes. What is the y intercept?SSxx = 56.857; SS=2095.714; SSxy=-322.571SUMMARYOUTPUTRegressionStatisticsMultiple RR SquareAdjusted RSquareX368990.960.930.91y67544733312512 OUTPUTRegressionStatisticsMultiple RR SquareAdjusted RSquareStandard Error 5.48Observations 7ANOVAInterceptx variable 1dfRegression 1Residual5Total6O 5.85O-72.69O-5.850.960.93O 72.690.91Coefficients72.69-5.85SS1945.3150.42095.7StandardError4.740.73MS1945.330.1t Stat15.34-8.04F64.7P-value0.000.00Significance F0.00048117Lower 95%60.51-7.72Upper 95%84.87-3.98

Regression: Regression analysis estimates the relationship among variables. That is, it estimates…

Answered: The following data gives the number of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.6 8.5 7. 3.5 2.6 2.3 2.4 0.4 13.8 11 10 6.3 6.1 5.9 4.1 I = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation y = 0.85T + 3.97. Use this equation to answer the following; A) How many murders per 100,000 residents can be expected in a state with 1.2 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 2.2 thousand automatic weapons? Answer = Round to 3 decimal places. Question Help: O Message instructor Submit Question to search 1O
I can do the scatter plot diagram I just need help With identifying the Y axis and the X access and the Form directions strength And outlier
Below is the actual data on the speed a person walks or runs in miles/hour and the calories the person burns per lap. Find the linear equation of best fit for this data. Compare the model to the data. Does the model seem to fit the data? Explain. What is the significance of the y-intercept? What is the slope and what does it mean? What is the x-intercept and what does it mean? What is the correlation coefficient and what does it mean? Speed (mph) Calories/lap 1 42 2 31 3 27 4 41 5 40 6 40 7 39 8 38 r answers to the nearest hundredth. The y-intercept means that if a person runs at ----------mph they will burn__________ per lap. The slope means that for each mph you increase your speed, you will burn an additional------------calories pay lap
ea surface temperature26.726.726.626.626.626.626.526.526.326.326.126.1Growth0.850.850.850.850.790.790.860.860.890.890.920.92 Make a scatterplot. Which is the explanatory variable? The plot shows a negative linear pattern. Explanatory Variable:
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The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.8 8.2 6.9 3.6 2.5 2.8 2.6 0.4 14 11.3 10.2 7.4 6.5 6.3 5.9 4.5 x thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equationý = 0.85x + 4.12. Use this equation to answer the following; %D A) How many murders per 100,000 residents can be expected in a state with 7.3 thousand automatic weapons? Answer = Nearest whole value. B) How many murders per 100,000 residents can be expected in a state with 1 thousand automatic weapons? Nearest whole value Answer =
A multiple regression analysis has more than onea. Fixed costsb. Dependent variablec. independent variabled. both fixed costs and dependent variable
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The correct answer is option C but I do not know how to find the number that go inside it.
A researcher explored the relationship between the percent of snow days during the month of January and the percent of students that receive an A on class finals at the same schools. The researcher collects information from 6 schools, shown in the table below. Use the graph below to plot the points and develop a linear relationship between the percent of January snow days and the percent of 'A' final exams. School Number % of Snow Days % of A Finals 1 5 25 2 7 45 3 10 50 4 12 65 5 20 70 6 25 86 Using the linear relationship graphed above, estimate the percent of 'A' finals if there are 2% snow days. Provide your answer below:

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