Question: Question 13 1 pts Which of the following Python code would produce the regression for a file with y and x values. O import statsmodels.formula.api

import statsmodels.formula.api as sms import pandas as pd reg = pd.read_csv('Sample.csv") sms.ols('y

~ x', reg).fit().summary() O import statsmodels.formula.api as sms reg = sms.read_csv('Sample.csv') ols('y

Question 13 1 pts Which of the following Python code would produce the regression for a file with y and x values. O import statsmodels.formula.api as sms import pandas as pd reg = pd.read_csv('Sample.csv") sms.ols('y ~ x', reg).fit().summary() O import statsmodels.formula.api as sms reg = sms.read_csv('Sample.csv') ols('y ~ x', reg).fit().summary() O import statsmodels.formula.api as sms import pandas as pd reg = pd.read_csv('Sample.csv') #sms.ols('y ~ x', reg).fit().summary() O import pandas as pd reg = pd.read_csv('Sample.csv") pd.ols('y ~ x', reg).fit().summary()Using the following Excel screenshot what would the formula be to calculate the Chi-Squared statistic in cell C26 A B C D E F 1 Observed Location Rating A B C Total 12 16 43 71 2 15 48 12 75 3 14 12 15 41 7 4 26 46 17 89 8 5 35 25 66 9 Total 102 147 93 342 10 11 12 Expected 13 Location 14 Rating A C Total 15 1 21.1754386 30.51754386 19.3070175 71 16 2 22.3684211 32.23684211 20.3947368 75 17 3 12.2280702 17.62280702 11.1491228 41 18 4 26.5438596 38.25438596 | 24.2017544 89 19 5 19.6842105 28.36842105 17.9473684 66 20 Total 102 147 93 342 21 22 23 Alpha 0.05 24 25 p-value 3.18952E-14 26 Chi Squared statistic 80.921119561 27 28 Critical value 15.50731306 O =CHISQ.TEST(B4:D8,B15:D19) O =CHISQ.INV.RT(0.05,8) O =CHISQ.INV.RT(C25,8) O =CHISQ.DIST.RT(C25,8)

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