Mathematics, 14.06.2021 15:20 NJSX54661
A data related to air pollution in 10 U. S. cities. The dependent variable Y is the annual mean concentration of sulfur dioxide, in micrograms per cubic meter. The explanatory variable X records the number of manufacturing enterprises employing 20 or more workers. Below is Routput of the relationship between X and Y.
Coefficients: Estimate Std. Error t value Pro> tl) (Intercept) 9.4764 9.6266 0.98 0.354 2.0315 0.0070 4.51 0.CO2 ** X Signif. codes: 9 ' 0.001 ***' 0.01 **' 0.05, 0.1' '1 Residual standard error: 17.9 on 8 degrees of freedom Multiple R-squared: 0.717, Adjusted R-squared: 0.682 F-statistic: 20.3 on 1 and 8 DF, p-value: 0.00198
a) Write the regression equation with parameters from the R output. b) Suppose that the number of manufacturing enterprises employing 20 or more workers in Irvine is 250, could you predict that the annual mean concentration of sulfur dioxide in Irvine?c) What is the residual if in Irvine the annual mean concentration of sulfur dioxide is 15 micrograms per cubic meter. d) What is the value of the correlation coefficient?e) Calculate a 95% confidence interval for the slope of the model. f) Based on the confidence interval, is there a linear relationship between X and Y?
Answers: 2
Mathematics, 21.06.2019 20:20
One of every 20 customers reports poor customer service on your company’s customer satisfaction survey. you have just created a new process that should cut the number of poor customer service complaints in half. what percentage of customers would you expect to report poor service after this process is implemented? 1.) 5% 2.) 10% 3.) 2% 4.) 2.5%
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Mathematics, 22.06.2019 05:30
Alarge cheese pizza costs $18. each topping you add on costs $1.50. how much would it cost to get a large cheese pizza with cc toppings added? write your answer as an expression
Answers: 2
A data related to air pollution in 10 U. S. cities. The dependent variable Y is the annual mean conc...
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