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- (eirate, x 10:03 AA www-awn.aleks.com O REGRESSION AND CORRELATION Computing the sample correlation coefficie. OOD OD Below are bivariate data giving birthrate and life expectancy information for each of twelve countries. For each of the countries, both the number of births x per one thousand people in the population and the female life expectancy y (in years) are given. These data are displayed in the Figure 1 scatter plot. Birthrate, x (number of Female life еxpectancy, у births per 1000 рор.) (in years) pop. 47.0 63.3 32.0 62.8 35.5 66.5 75 27.2 72.8 47.3 58.6 51.8 54.3 25.5 73.0 55 49.9 59.0 14.7 77.3 39.3 65.8 18.9 72.4 Figure 1 14.8 74.3 Send data to Excel The value of the sample correlation coefficient - for these data is approximately -0.938. Answer the following. Carry your intermediate computations to at least four decimal places, and round your answers as specified below. (If necessary, consult a list of formulas.) What is the value of the slope of the least-sauares…Please show complete and clear solution! Last 45 minutes left Thank you!SOLVE FOR CRITICAL VALUE Two suppliers manufacture a plastic gear used in a laser printer. The impact strength of these gears measures in foot-pounds is an important characteristic. A random sample of 10 gears from supplier 1 results in x1 = 290 and s1 = 12 while another random sample of 16 gears from the second supplier results in x2 = 321 and s2 = 22. Is there evidence to support the claim that supplier 2 provides gears with higher mean impact strength. Use a =0.04, and assume that both populations are normally distributed with equal variances.Level of significance = 0.04
- the regression model using 240 monthly observation stock return = bo+b,*size+b,*CM+b;+profitability+b,investment +e coefficien standard error bo -0.01 0.03 b1 0.22 0.25 b2 0.02 0.13 b3 0.03 0.08 b4 0.04 0.06 df sum residual squared regression 4 0.095 Which one of the four variable can explain the time variation in stock return given 95% confidence level? Is the four-factor model is better than the random walk model in explain the return given 95% confidence level?I did this question already, I would just like some confirmation if my answers are correct. my answers to this problem were: Reject H0 and The test statistic falls within the region.Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model: SALES=a+BAGE+YMIL+SENG Where SALES= amount that a vehicle is sold for($000's), AGE = age of the vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained:
- afproximate Oci9nt decimaIn a White test for heteroskedasticity, what is the degrees of freedom? The number of explanatory variables in the auxiliary regression + 1 The number of explanatory variables in the initial model + 1 The number of explanatory variables in the auxiliary regression The number of explanatory variables in the initial modelDEx2)-Ex)(Exy) |t= (X- X)// Examus - cdn.student.uae.examus.net/?rldbqn=1&sessi... STAT-101 FEX_2021_2_Male State whether the question is true or false 4 - 30 -> 118:50 362 The degree of freedom of t-test for independent samples (where of & o are unknown and not assumed to be equal) with sample sizes n1=37 and n 43 is equal to 79. ce362d6 2dcf91 F-E <µ < i+E where E = Za/2• e362d ef917 Formulae Sheet STAT-101-2 d.f. = min (n– 1,n2 – 1) p – ESEE MORE QUESTIONS