Please help me with this q The table below indicates the number of years of experience of a sample of salespeople who wfor Babble Pty Ltd. and their corresponding number of sales over the last month.Q.1.1Years of Experience (x)1372685Number of Sales (y)21178141511By completing the table below, and then applying the relevant formulae,determine the line of best fit for this bivariate data set.[NOTE: Do NOT change the units for the variables. No marks will be awarded if thetable is not completed]xyx²хуΣε =Σy =Ex² =Exy =Q.1.2Estimate the number of sales that would have been made in a month by asalesperson who has 11 years of experience.Q.1.3Using your calculator, determine the coefficient of correlation for the data set.Interpret your answer.Q.1.4 Compute the coefficient of determination for the data set. Interpret your answer.

Step 1: Objective and ConceptObjective:-To determine the regression equation, correlation…

Answered: The table below indicates the number of…

ENGR.ECONOMIC ANALYSIS

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Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

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ANOVA Sigmficance F 0,046 df SS MS F 130433116.219 130433116.219 4.083 Regression Residual Total 113 3609911959.86s 31946123.539 114 3740345076.087 Cosfficrent Standard Error Stát Pvalne 1535.215 Intercept Age 10725.802 6.987 0,000 69.964 34.625 2.021 0.046 Which of the following statements is the best explanation of the R? Select one O'A3.5% of the accident damage can be explained by the age of the driver. B. 3.5% of the variation in accidernt damage can be eaplained by variation in the age of the drver. CC3.5% of the coefficients r stat and p value can be explained by the age of the dtver. D.3.5% of the total errar can be eiplained by the SSE Scanned with CamScanner
(10+05)The following data were collected on the height (inches) and weight (pounds) of women swimmers.Height6870646566 Weight132110106115128 d. Suppose the value of co-efficient of determination is estimated to be equals 0.85, what does this value explains?
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A10
We have estimated the impact of gross domestic product (GDP), energy consumption (ENERGY) and population (POP) on CO2 emiisions (CO2) in Cyprus. The results are as follows, Dependent Variable: CO2 Method: Least Squares Date: 04/20/17 Time: 09.46 Sample: 1990 2013 Included observations: 24 Variable Coefficient Std. Error t-Statistic Prob. GDP ENERGY POP 2.002813 0.022114 -0.734352 0.203927 6.458672 0.011872 0.328388 0.293686 0,310097 1.862670 -2.236233 0.694371 0.7597 0.0773 0,0369 0.4954 R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) 0.825079 Mean dependentyar 0.798841 0.048515 Akaike info criterion 0.047074 Schwarz criterion 40.75460 Hannan-Quinn.criter. 31.44583 Durbin-Wats on stat 0.000000 3.625982 0.108170 -3.062883 -2.866541 -3.010793 1.410912 S.D. dependent yar a Write down the economie function for the above estimation by using the information obtained from above table| b- Write down the economic model for the above…
A10
The regression equation Netincome = 2,049 +.0478 Revenue was estimated from a sample of 100 leading world companies (variables are in millions of dollars). (0-1) If Revenue = 1, then Netincome = (a-2) Choose the correct statement. (b) Choose the right option. (c) O Increasing the revenue raises the net income. Decreasing the revenue raises the net income. O Increasing the revenue lowers the net income. million. (Round your answer to 2 decimal places.) O The intercept is not meaningful because a firm cannot have net income when revenue is zero. The intercept is meaningful because a firm can have net income when revenue is zero. If Revenue = 24,574, then NetIncome = million. (Round your answer to the nearest whole number.)
q13-
P'On the basis of quarterly sales (in $ lakhs) of a certain commodity for the years 2001-2003 Trend: the following calculations were made : y = 25-0 + 0-6t, with origin at 1st quarter of 2001, where t = time units (one quarter), and y= quarterly sales $ lakhs). Seasonal variations: Quarter 1st 2nd 3rd 4th Seasonal index 90 95 110 105 Estimate the quarterly sales for the year 2002 (use multiplicative model).
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