. regress wages education workexp unionmember south ib(last).occupation female Source Model Residual Total wages education workexp unionmember south occupation Management Sales Clerical Service Professional female cons SS 4477.32498 9599.37357 14076.6985 Coefficient .6722878 .0936955 1.517377 .6885843 df · 10 447.732498 523 18.3544428 Std. err. 533 26.4103162 0990429 . 0165623 .5083565 4150423 MS 2.799024 .756551 -1.17642 .8139971 -.5480944 6319067 -1.349161 .6065975 1.531115 .6888258 -1.845267 .4152299 -.8195072 1.348736 Number of obs F(10, 523) Prob > F R-squared Adj R-squared Root MSE t P>|t| 6.79 0.000 5.66 0.000 2.98 0.003 -1.66 0.098 3.70 0.000 -1.45 0.149 -0.87 0.386 0.027 -2.22 2.22 0.027 -4.44 0.000 -0.61 0.544 = = = .4777169 .0611587 .5187055 -1.503939 = 1.312772 -2.775525 -1.789482 -2.540828 . 1779095 = -2.66099 -3.469113 = [95% conf. interval] 534 24.39 0.0000 0.3181 0.3050 4.2842 8668586 . 1262322 2.516049 .1267705 4.285276 .4226859 .6932927 -.1574936 2.88432 -1.029544 1.830098

. regress wages education workexp unionmember south ib(last).occupation female Source Model Residual Total wages education workexp unionmember south occupation Management Sales Clerical Service Professional female cons SS 4477.32498 9599.37357 14076.6985 Coefficient .6722878 .0936955 1.517377 .6885843 df · 10 447.732498 523 18.3544428 Std. err. 533 26.4103162 0990429 . 0165623 .5083565 4150423 MS 2.799024 .756551 -1.17642 .8139971 -.5480944 6319067 -1.349161 .6065975 1.531115 .6888258 -1.845267 .4152299 -.8195072 1.348736 Number of obs F(10, 523) Prob > F R-squared Adj R-squared Root MSE t P>|t| 6.79 0.000 5.66 0.000 2.98 0.003 -1.66 0.098 3.70 0.000 -1.45 0.149 -0.87 0.386 0.027 -2.22 2.22 0.027 -4.44 0.000 -0.61 0.544 = = = .4777169 .0611587 .5187055 -1.503939 = 1.312772 -2.775525 -1.789482 -2.540828 . 1779095 = -2.66099 -3.469113 = [95% conf. interval] 534 24.39 0.0000 0.3181 0.3050 4.2842 8668586 . 1262322 2.516049 .1267705 4.285276 .4226859 .6932927 -.1574936 2.88432 -1.029544 1.830098

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

a. Interpret the meaning of the Y-intercept, bo Interpret the meaning of the slope, b1
what would the graphed solution? these are different questions slope=0.5 y-intercept =3.5 slope=5 y-intercept=-1 slope=8, y-intercept=2
A survey was distributed to a group of people asking them how many times they had ordered takeout in the past week. They were also asked how much money they saved that week. The scatter plot displays the relationship between the data collected. the trend line goes through the points (1,230) and (3,190). What is the equation of the trend line. The equation should be in slope form. interpret the slope and y intercept in this context. predict the amount of money a person save when they order takeout 9 times.
The heights and weights of elephants at the zoo are recorded in the table. Height (in feet) 4 6 7 7 7.5 9 Weight (in tons) 1.25 1.9 2.5 2.1 2.3 3.4 Interpret the slope, using the equation for the line of best fit ŷ = 0.513x − 0.408; for every additional foot in height, the elephant is predicted to gain 0.513 tons of weight ŷ = 0.408x − 0.513; for every additional foot in height, the elephant is predicted to gain 0.408 tons of weight ŷ = 0.408x − 0.513; for every additional foot in height, the elephant is predicted to lose 0.513 tons of weight ŷ = 0.513x − 0.408; for every additional foot in height, the elephant is predicted to lose 0.408 tons of weight
Option C is incorrect
A scientist measures the velocity of a major river at various depths. After collecting and analyzing the data, the scientist determines that the equation -0. 114x + 1. 658, where y = x represents the depth, in feet, and y represents the velocity of the river, in feet per second, can be used to model the data. The linear model has a correlation coefficient of 0. 964. Part A: Explain what the slope and intercept of the equation mean in terms of the context. Part B: Explain what the correlation coefficient indicates about the relationship between the two variables.
There is a positive relationship between how frequently households shop at a certain mall and the distance they live from that mall. Match the type of Hypothesis to the correct equation. slope = 0 1. Null Hypothesis slope > 0 2. Research Hypothesis
Modified True or False The slope will give the value of the dependent variable when the explanatory variable is zero.
Please do not give solution in image format thanku
What is the slope and y intercept for question 6. Explain how you know.
Please no written by hand solution and no img 14,8,3,0,4,1,7,3,2,7,5,2,5,1,5 Make a dot plot for the data.