a) The best method to use here would be logistic regression. Logistic regression will be the appropriate regression analysis to be conducted when the dependent variable is binary. In our case pass and fail may be indicated by 1 and 0 respectively and further analysis can be made.
b) In this scenario, the best method to use will be simple linear regression where the marks can be considered as dependent variable and number of hours spent studying can be taken as independent variable
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Discussion and Application 24. Suppose we wish to answer the following question: A group of 20...
042. A group of 20 students spend between 0 and 6 hours studying for an exam. How does the number of hours spend studying for the exam affect the probability that the student will pass the exam logistic regression model where the categorical variable pass (1pass, 0- fail) is dependent on the number of hours spent studying for the exam. What is the probability of passing the exam if the student studied for 3 and 5 hours' duration? a. 0.07...
Please help with multi step question- 1 question with 6 parts!! The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y bo + bix, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data...
Question 2 1 pts Suppose that we wish to built the following multiple regression model: Ý; = ßo + Ê, Xi1 + ,Xj2 where Y = mathematics exam score, X 1 =number of hours spent studying, X 2 =number of hours spent playing video games. Suppose we know that the number of hours spent studying is directly inversely proportional to the number of hours spend playing video games. Which of the following would be true, We cannot obtain the coefficients...
The table below gives the number of hours ten randomly selected students spent studyling and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, -bo +bix, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression...
The table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line. Ĵ = bo + bix. for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to...
please help with what might be on steps 2-6 as well The table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line. ☺ = bo + x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the...
please help with what you think might be on steps 3-6 as well The table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y = bo + bx for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant...
The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y ˆ = b 0 + b 1 x y^=b0+b1x , for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice,...
The table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y = bo + b x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate...
Question 1 Which of the following choices best describes the scatterplot shown below? Group of answer choices Linear, negative, strong No form, weak Linear, positive, strong Curved, weak Question 2 Which of the following choices is most likely to be the correlation of the data in the scatterplot shown below? Group of answer choices -0.14 1.04 0.86 -0.92 Question 3 Most roller coasters get their speed by dropping down a steep initial incline, so it makes sense that we can...