Use two indicator (dummy) variables to code the forest. Let 'indicator2' be 1 for forest 2, and O otherwise, let 'indicator3' be 1 for forest 3 and 0 otherwise. With this coding, the logisitic regression model will use the intercept for forest 1, the intercept plus the coefficient of the first indicator variable for forest 2, and the intercept plus the coefficient of the second indicator variable for forest 3. Include at least 3 decimals of precision (a) Run the multiple logistic regression. Give the coefficient estimates here: log- odds(gambling) = "indicator2 + "indicator3 (b) What are the log-odds for tar spot in Forest 1? (c) What are the log-odds for tar spot in Forest 2? (d) What are the log-odds for tar spot in Forest 3?

Use two indicator (dummy) variables to code the forest. Let 'indicator2' be 1 for forest 2, and O otherwise, let 'indicator3' be 1 for forest 3 and 0 otherwise. With this coding, the logisitic regression model will use the intercept for forest 1, the intercept plus the coefficient of the first indicator variable for forest 2, and the intercept plus the coefficient of the second indicator variable for forest 3. Include at least 3 decimals of precision (a) Run the multiple logistic regression. Give the coefficient estimates here: log- odds(gambling) = "indicator2 + "indicator3 (b) What are the log-odds for tar spot in Forest 1? (c) What are the log-odds for tar spot in Forest 2? (d) What are the log-odds for tar spot in Forest 3?

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

An epidemiologist is trying to discover the cause of a certain kind of cancer. He studies a group of 10,000 peo-ple for five years, measuring 48 different “factors” involv-ing eating habits, drinking habits, smoking, exercise, and so on. His object is to determine if there are any differ-ences in the means of these factors (variables) between those who developed the given cancer and those who didnot. He assumes that these variables are independent,even though there may be evidence to the contrary. Inan effort to be cautiously conservative, he uses the 0.01level of significance in all his statistical tests.(a) What is the probability that one of these factors willbe “associated with” the cancer, even if none of them is acausative factor?(b) What is the probability that more than one of thesefactors will be associated with the cancer, even if none ofthem is a causative factor?
An experiment was conducted to compare the yield of three plant genotypes. Theheight of plants was also recorded to serve as concomitant variable. True or False? Assuming that assumptions of ANCAOVA were satisfied, determine if each statement is true or falsewith regards to test of significnace of genotype effects using ANACAOVA a=0.05 Statement: The test of genotype effects was done while adjusting for the effect of height on yield.
A researcher conducted an experiment to test the effects of running 3 different types of gasoline with 3 possible types of additive on the mileage obtained. The experiment assumed that there is an interaction between gasoline type and the type of additive,hence, a two-factor ANOVA was employed in the data analysis. It was decided to run 36 motors – 4 in each factor level combinations. The following are the analysis results MEAN ADDITIVE 1 ADDITIVE 2 ADDITIVE 3 GAS TYPE 1 125.825 130.775 128.275 128.2917 GAS TYPE 2 127 133.6 137.825 132.8083 GAS TYPE 3 126.35 132.5 123 127.2833 126.3917 132.2917 129.7 129.4611 Analysis of Variance Table Df Sum Sq Mean Sq F Value Pr(>F) factor(gas.type) 2 207.7706 103.8853 11.08482 0.000306 factor(additive) 2 209.8872 104.9436 11.19775 0.000287 factor(gas.type):factor(additive) 4 262.9678 65.74194 7.01483 0.000523 Residuals 27 253.04 9.371852 NA NA a.) Is there a significant interaction between the type of…
A researcher does a study looking at whether the distribution of people’s favorite form of media (radio, television, internet, podcasts, or video games) has changed since previous research on this topic from the year 1995. Notice there are c = 5 categories on this variable. Additionally, the study was done by surveying n=100 people. The researcher does the calculations and gets χ2Obtained of 8.74, and a χ2Critical of 9.49 (using alpha = .05). What is the correct H0 decision and APA sentence? Group of answer choices Reject H0 APA sentence: χ2(99, n=100) = 8.74, p < .05 Fail to Reject H0 APA sentence: χ2(4, n=100) = 8.74, p > .05 Fail to Reject H0 APA sentence: χ2(5, n=100) = 8.74, p < .05 Reject H0 APA sentence: χ2(4, n=100) = 9.49, p < .05
And conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary (In SPSS the name of the variable is "salbegin", and its label is "Beginning Salary). Use α = .05 a. If the main effect of Minority Classification is significant, describe the main effect of Minority Classification. Include the overall means and corresponding standard deviations in your description. Example = If there is a main effect of maternal diet, is the main effect of maternal diet significant? Why? Provide F-statistic, df of numerator, df of denominator, and p- value? Yes, the main effect of maternal diet is significant because p is less than alpha, F(1,16) = 40.67, p = .0001
And conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary (In SPSS the name of the variable is "salbegin", and its label is "Beginning Salary). Use α = .05 a. What are the independent variables and what are the two levels or conditions of each independent variable? b. State the three alternative hypotheses in words. State the alternative hypothesis of the interaction in terms of whether the effects of he effect of Minority Classification on Beginning Salary depend on the levels of Gender (i.e., on whether you are a male or a female)
And conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary (In SPSS the name of the variable is "salbegin", and its label is "Beginning Salary). Use α = .05 a.If there is a main effect of gender, is the main effect of gender significant? Why? Provide F-statistic, df of numerator, df of denominator, and p- value?
And conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary (In SPSS the name of the variable is "salbegin", and its label is "Beginning Salary). Use α = .05 a. If the Gender by Minority Classification interaction is significant, describe the interaction. Include individual means and their corresponding standard deviations in your description.
And conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary (In SPSS the name of the variable is "salbegin", and its label is "Beginning Salary). Use α = .05 a. If the main effect of Minority Classification is significant, describe the main effect of Minority Classification. Include the overall means and corresponding standard deviations in your description.
And conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary (In SPSS the name of the variable is "salbegin", and its label is "Beginning Salary). Use α = .05 a. If there is an interaction, is the interaction significant? That is, does the effect of Minority Classification on Beginning Salary depend on the levels of Gender(i.e., on whether you are a male or a female)? Why? Provide F-statistic, df of the numerator, df of the denominator , and p-value.
A researcher is interested in estimating the extent to which posting caloric labels on menus changes the number of calories consumed by patrons. To test the impact of posting caloric labels on menu items, the analyst created two menus for the same restaurant: One menu with caloric labels and one menu without. As soon as restaurant guests entered the restaurant, they were randomly assigned one of the two types of menus. For the sake of clarity, guests assigned the menu with caloric labels are referred to as “Group 1” or the “treatment group”. Likewise, guests assigned the menu without caloric labels are referred to as “Group 2” or the control group. The analyst then collected data detailing how many calories each guest consumed as well as recording the age of each guest. The variable Cal1 denotes the number of calories consumed by guests who were assigned to the treatment group 1, while the variable Cal2 denotes the number of calories consumed by guests who were assigned to the control…
A researcher who was interested in the pattern of voting of rural and urban voters in the 2000 elections took a sample of 600 voters and made the following findings: Of those who voted NDC, 120 were rural and 80 urban. Of those who voted NPP 100 were rural and 120 urban. Of the CPP voters 60 were rural and 20 urban. For the PNC, 70 voters were rural and 30 urban.Indicate which variable is dependent (Y) and which is independent (X) with reasons.Construct a crosstab and a percentage table showing the relationship between the independent and dependent variables.Write an analysis of the data captured in (a) above