QUESTION 1 1 points Save Answer On the rst sampling occasion you capture 54 animals. On the second sampling occasion you capture 38 animals, and 12 of those were also captured during the rst sampling occasion. Use the Lincoln-Peterson estimator to answer the following questions. What is X10 equal to? QUESTION 2 1 points Save Answer What is X01 equal to? QUESTION 3 1 points Save Answer What is X11 equal to? QUESTION 4 1 points Save Answer What is n1 equal to? QUESTION 1 1 points The AirQuality dataset (see Blackboard Assignment folder) includes daily air quality measurements in New York from May to September 1973, where: 0 Ozone = Mean ozone in parts per billion from 1300 to 1500 hours at Roosevelt Island - Solar.R = Solar radiation in Langleys in the frequency band 4000-7700 Angstroms from 0800 to 1200 hours at Central Park 0 Wind = Average wind speed in miles per hour at 0700 and 1000 hours at LaGuardia Airport 0 Temp = Maximum daily temperature in degrees Fahrenheit at La Guardia Airport 0 Month = month of the year 0 Day = day of the month 0 BadQuality = classification of poor air quality if the mean ozone is greater than 50 ppb (my classication) We are interested in using a linear regression model to estimate how temperature inuences the amount of ozone. What is the response variable for your model? Roosevelt Island from 1300 t( QUESTION 2 1 points Save Answer What is the independent variable for your model? QUESTION 3 4 points Save Answer Provide the code for fitting your model in R QUESTION 4 4 points Save Answer Write the equation for your model in the form y=mx+b, filling in the names of your variables and the maximum likelihood estimates for your parameters determined from fitting your model in R. QUESTION 5 1 points Save Answer What is the adjusted R squared value for your model? (enter your answer with 2 decimal places, rounding up at 0.5, so 0.185 should be entered as 0.19) QUESTION 6 1 points Save Answer Based on the R squared value, I think my model ts my data vew well moderately well not at all QUESTION 7 3 points Save Answer Provide the code for calculating 95% confidence intervals for your parameters QUESTION 8 1 points Save Answer What is the lower bound of the 95% condence interval for the coefficient for temperature? (enter your answer with 2 decimal places, rounding up at 0.5, so 5.185 should be entered as 5.19) QUESTION 9 1 points Save Answer As temperature goes up, amount of ozone does not change. We are sure about this relationship. amount of ozone goes down. We are sure about the direction of this relationship. amount of ozone goes up. We are sure about the direction of this relationship. amount of ozone appear to go up, but there is uncertainty about the direction of this relationship. amount of ozone appear to go down, but there is uncertainty about the direction of this relationship. amount of ozone appear to not change, but there is uncertainty about this relationship. QUESTION 10 1 points Save Answer Does your model meet the linearity assumption? yes no we cannot determine whether it does or not QUESTION 11 1 points Save Answer Does your model meet the homoscedasticity of residuals assumption? yes no we cannot determine whether it does or not QUESTION 12 1 points Save Answer Does your model meet the normality of residuals assumption? yes no we cannot determine whether it does or not QUESTION 13 1 points Save Answer Does your model meet the no autocorrelation of residuals assumption? yes no we cannot determine whether it does or not QUESTION 14 4 points Save Answer Make a plot of amount of ozone as a function of temperature with the line from your linear regression model. Provide the code you used to create the plot. For the toolbar, Dress ALT+F1O (PC) or ALT+FN+F1O (Mac)