There are four questions related to the same scenario in the test shown in random order. Based on a sample of 60 observations the population regression model to predict total yearly spending of an...


There are four questions related to the same scenario in the test shown in random order.<br>Based on a sample of 60 observations the population regression model to predict total yearly spending of an online<br>customer for food from an online retail stories is based on the following inputs:<br>total food spending last year,<br>gender of the customer (two distinct values),<br>yearly income of customer in TL,<br>marital status of the customer (marital status has four distinct values),<br>customers occupation, (occupation has six distinct values),<br>Assume that all categorical variables affect only intercept of the linear regression model.<br>Some figures in the ANOVA table are missing.<br>S:<br>d.f.<br>MS<br>Regression<br>a<br>b<br>20.0<br>Error<br>Total<br>1000.0 d<br>What is a?<br>a.<br>220<br>О Б. 300<br>280<br>O d. 240<br>

Extracted text: There are four questions related to the same scenario in the test shown in random order. Based on a sample of 60 observations the population regression model to predict total yearly spending of an online customer for food from an online retail stories is based on the following inputs: total food spending last year, gender of the customer (two distinct values), yearly income of customer in TL, marital status of the customer (marital status has four distinct values), customers occupation, (occupation has six distinct values), Assume that all categorical variables affect only intercept of the linear regression model. Some figures in the ANOVA table are missing. S: d.f. MS Regression a b 20.0 Error Total 1000.0 d What is a? a. 220 О Б. 300 280 O d. 240

Jun 10, 2022
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