Question 1. Data were collected to see whether booked time (Y) for installationjobs is related to actual time (X) in a management accounting system. Data for 10jobs are available and the summary statistics are given in Table 1 below.Table 1:--Σ²₁ i ²₁ Yi Σ₁² 1₁ (xi-x)² Σ²_₁(Yi − y)² Σ²²_₁ (xi — T) (Yi — Y)29173.6vi=1i=1=1146814402304022368Find the least square estimates of Bo and B₁ (rounding the number results to 2decimal places).

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Answered: Question 1. Data were collected to see…

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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Table 1 gives data on GDP (Y - in billions), foreign direct investment (X₂ - in billions), and corruption index (X3) 31. Y 45 50 54 58 63 69 74 78 X₂ 75 78 83 86 90 93 98 100 X3 15 12 9 6 3 -2 -5 -8 What is the value of Σx and Σx3, given that x₁ = X; - X? A. 579 and 475 B. 959 and 737 C. 675.2500 and -518.2500 D. - 567.1456and 255.3750
Hi I know that you can’t answer all questions. Can you just answer question 21 please.
Question 6
Suppose the following table was generated from a sample of 2020 CEOs relating annual salary to years of experience and the industry in which they are employed. Indicator (dummy) variables were created for each industry (1 if the CEO works in that industry, 0 otherwise). The Financial industry is considered the base-level industry. Coefficients Standard Error t Stat P-Value Intercept 146764.182525146764.182525 4444.7308874444.730887 33.01981333.019813 0.0000000.000000 Experience 3092.1835033092.183503 221.155524221.155524 13.98194113.981941 0.0000000.000000 Service 8404.3798898404.379889 4753.9693564753.969356 1.7678661.767866 0.0974120.097412 Health Care −17859.350459−17859.350459 4768.1459284768.145928 −3.745555−3.745555 0.0019490.001949 Manufacturing 4332.7956954332.795695 4654.1548254654.154825 0.9309520.930952 0.3666200.366620 According to the results, if a CEO in the Financial industry and a CEO in the Manufacturing industry both have 22 years of experience, what…
11. HX-N(A = 200. o- 100), which of the following is FALSE A crepresents an unknown probability value for the given x= 0.80 B. P(X < e) = 0.80 C cis the x value that has 80% of the area below it D. P(200 < X
2) d and e.
1) A historic data set on the relationship between car speed (X) and stopping distance (Y) is given in the R data cars. Use the R output given below to answer the following questions. Estimate Std. Error t value Pr(>|t|) (Intercept) -17.5791 6.7584 -2.601 0.0123 3.9324 0.4155 9.464 1.49e-12 Multiple R-squared: 0.6511 Analysis of Variance Table Df Sum Sq Mean Sq F value Pr (>F) 1 21186 1.490e-12 Residuals 48 11354 a) What is the sample size in this study? b) Give the estimate of the standard deviation of the intrinsic error. c) Give the values of the t-test statistics for testing Ho : Bo = 0 vs. Ha : Bo + 0 and H, : B1 = 0 vs. Ha : B1 # 0. What are the corresponding p-values? d) Fill in the missing entries in the ANOVA table. e) What proportion of the total variability of the stopping distance is explained by the regression model?
I need help with part b please
None
The population mean will always be the same as the mean of all possible X that can be computed from samles of size 24. True or false
This dataset of size n - 51 is for the 50 states and the District of Columbia in the United States. The variables are - year 2002 birth rate per 1000 females 15 to 17 years old and z- poverty rate (the percent of the state's population living in households with in- comes below the federally defined poverty level) i- 13.1 - 22.3 R- 51, Su - E(-2) - 914.7 S, - E( -2)( - 6) - 1, 256.2 Su - E(m - M) - 3, 249 SSE - E(w - - 1, 509.6 1. Find A. A and r. 2. Write the fitted linear regression model for ý, in terms of z, A, and A- For A and , use the values you obtained in problem 1. 3. Interpret the slope of the least squares line based on the context. 4. Find SST, SE and SSR. 5. Find R* and . 6. Complete a chart for ANOVA df MS pvalue Source Regression Error Total 7. Complete a chart for Parameter Estimates. t-value pvalue Parameter Intercept Slope Estimate S.e. 8. What is the residual e, for the observation (.) - (20.1,31.5)? 9. What is the conclusion for the test Ha : -0 vs Ho : +0 with a -…
22 of 47 > Five strains of the Staphylococcus aureus bacteria were grown for 24 hours either at 35 degrees Celsius or at 43 degrees Celsius. The table gives the resulting bacterial counts for each condition: 24 hours at 35 degrees Celsius 24 hours at 43 degrees Celsius 66 98 71 67 93 42 102 31 62 77 Suppose we had plotted bacterial count at 35 degrees Celsius on the y axis instead of the x axis. How would this change affect the value of the correlation coefficient? The correlation would be the inverse of, or I over, the original value. The correlation coefficient would have the opposite sign. The correlation coefficient would be exactly the same. The correlation coefficient would have an entirely different magnitude.

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