1 Based on the pictures:a)Interpret the coefficient on lnypcpenn and its p-value. b)Interpret the coefficient on ln_annualprecip and its p-value. c)Interpret the coefficient on ff-rents and its p-value. R R 4.1.1 ~Coefficients:(Intercept)InypcpennIn_gaspriceIn_annualprecipffrentsInpopInlandincomegrouplowincomegroupmiddleJobs XEstimate Std. Error t value Pr(>ltl)2.5658760.8040073.191 0.00180 **0.6858220.057305 11.968 < 2e-16 ***0.10205-0.1171260.071093 -1.648-0.1008380.040154 -2.511 0.01335 *0.0011110.003603 0.3080.75833-0.058083 0.033443 -1.7370.084970.071733 0.026363 2.721 0.00747 **0.123811 0.243314 0.509 0.61178-0.348097 0.120393 -2.891 0.00455 **Signif. codes: 0 ***' 0.001 **' 0.01 * 0.05 '.' 0.1(Residual standard error: 0.3945 on 121 degrees of freedom(7 observations deleted due to missingness)Multiple R-squared: 0.8595, Adjusted R-squared: 0.8503F-statistic: 92.55 on 8 and 121 DF, p-value: < 2.2e-16'1 6:1(Top Level) +Console Terminal xR R 4.1.1 ~/Residuals:Min.1Q Median3QMax-0.93396 -0.26189 -0.05778 0.23900 1.13305Coefficients:Background Jobs x(Intercept)InypcpennIn_gaspriceIn_annualprecipffrentsInpopInlandEstimate Std. Error t value Pr(>ltl)2.565876 0.804007 3.1910.685822 0.057305 11.968-0.117126 0.071093 -1.648-0.100838 0.040154 -2.5110.0011110.003603 0.308-0.058083 0.033443 -1.7370.0717330.026363 2.721incomegrouplow0.1238110.243314 0.509incomegroupmiddle -0.348097 0.120393 -2.891Signif. codes: 0 ***** 0.001 '**' 0.01 * 0.05 .' 0.10.00180 **< 2e-16 ***0.102050.01335 *0.758330.084970.00747 **0.611780.00455 **1I

Slope coefficient indicates the estimate increase or decrease in the dependent variable Y per unit…

Based on the pictures: a)Interpret the coefficient on lnypcpenn and its p-value. b)Interpret the coefficient on ln_annualprecip and its p-value. c)Interpret the coefficient on ff-rents and its p-value.

Based on the pictures: a)Interpret the coefficient on lnypcpenn and its p-value. b)Interpret the coefficient on ln_annualprecip and its p-value. c)Interpret the coefficient on ff-rents and its p-value.

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

What does power curve shows?
Create a model for the data using the 1st and 3rd points in the data set. 1909 90.490 1st point^ 1929 121.767 3 rd point ^ y= years since 1909 P=population of the United States (in millions)
(b) The following chart shows the relationship between concert seating capacity (00) and revenue in RM '000 for a sample of concerts. i) ii) iii) Am oun t (RM '000 ) Exercises ke What is the above diagram called? How many concerts were studied? Describe on the relationship between revenue and seating capacity.
An important characteristic on Google Trends is the use of A. Annotations B. cross section data С. Кеywords D. none of these
5. Oxygen demand is a term blologists use to describe the axygen needed by fish and other aquatic organisms for survval. The Environmental Protection Agency conducted a study of a wetland area in Marin County, Californla. In this wetland environment, the mean oxygen demand was u=9.9 mg/L, and a= 1.7 mg/L. (Reference: EPA Report 832-R- 93- 005). Let x be a random varlable that represents oxygen demand in this wetland environment. Assume x has a probability distribution that is approximately normal. a. An oxygen demand below 8 mg/L Indicates that some organisms In the wetland environment may be dying. What is the probability that the oxygen demand will fall below 8 mg/L? b. A high oxygen demand can also indicate trouble. An oxygen demand above 12 mg/L may indicate an overabundance of organisms that endanger some types of plant life. What is the probability that the oxygen demand will exceed 12 mg/L?
O Macmillan Learning In 2017, the entire fleet of light-duty vehicles sold in the United States by each manufacturer must emit an average of no more than 86 milligrams per mile (mg/mi) of nitrogen oxides (NOX) and nonmethane organic gas (NMOG) over the useful life ( 150,000 miles of driving) of the vehicle. NOX + NMOG emissions over the useful life for one car model vary Normally with mean 82 mg/mi and standard deviation 5 mg/mi. A company has 25 cars of this model in its fleet. What is the probability that the average NOX + NMOG level of these cars is above 86 mg/mi? Give your answer to four decimal places. probability: MacBook Air
Plot the sales revenue figures and appropriate trend line on a graph and identify from this the choice of model for working out the seasonal component. Using the appropriate seasonal model, complete the calculations that are required to produce the required forecasts for quarters 1, 2, 3 and 4 of 2021. On the basis of your analysis explain the recommendation that you would make to ALAW Ltd regarding its future plans.