Answered step by step
Verified Expert Solution
Question
1 Approved Answer
Which of the following python methods can be used to perform simple linear regression on a data set? Select all that apply. linregress method from
Which of the following python methods can be used to perform simple linear regression on a data set? Select all that apply. linregress method from scipy module simplelinearregression from scipy module ols method from statsmodels moduleThe scores received in four exams in a math class are collected for 50 students. The following Python code is used to fit a simple linear regression model using data from the ExamScores.csv file. Which of the two variables, "Exam4" or "Exam2", is the response variable? Which is the predictor variable? Select one. import pandas as pd import statsmodels.formula.api as smf scores = pd.read_csv('http://data-analytics.zybooks.com/ExamScores.csv') model = smf.ols('Exam4 ~ Exam2', scores).fit() O Exam2 and Exam4 are both response variables. Exam4 is the response variable and Exam2 is the predictor variable. Exam2 is the response variable and Exam4 is the predictor variable. Exam2 and Exam4 are both predictor variables.The linregressl] method in scipv module is used to fit a simple linear regression model using \"Reaction\" [reaction time} as the response variable and r'Drinks" as the predictor variable. The output is shown below. What is the correct regression equation based on this output? Is this model statistically significant at 596 level of significance [alpha = 0.05]? Select one. Reaction = 6.0000 + 3.9999 Drinks. model is statisticallv significant Reaction = 3.9999 + 6.0000 Drinks. model is statisticallv significant Reaction = 6.0000 + 3.9999 Drinks. model is not statisticallv significant Reaction = 3.9999 + 6.0000 Drinks. model is not statisticallv significant Which of the following correctly represents the coefficient of determination in terms of the variance that is an output from the analysis of variance table? Select one. O total variance O unexplained variance total variance O explained variance + unexplained variance total variance O explained variance total varianceWhich of the following Python methods in scipy.stats submodule returns the P-value for performing a hypothesis test for the significance of the correlation coefficient? Select one. C pearsonr from pandas module O pearson from scipy module O pearson from pandas module O pearsonr from scipy module
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started