Questions is based on the results of the Coefficients and Statistics table from a Logistic Regression Learner node (shown below): Row ID Row 1 Row2 Row 3 Row4 RowS Row6 Row7 RowB Row9 Row 10 Row 11 Row 12 Row 13 Row 14 Row 15 Row 16 Row 17 Row 18 Row 19 Row 20 Row 21 Row 22 Row 23 Row 24 Row 25 Row 26 Row 27 Row 28 Row 29 Row 30 Row 31 S Logit Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes S Variable gender-Male Senior Citizen-1 Partner-No Dependents Yes tenure PhoneService-Yes Multiplelines-No Multiplelines Yes InternetService-Fiber optic InternetService-No OnlineSecurity Yes OnlineSecurity-No internet service OnlineBackup-No OnlineBackup-No internet service DeviceProtection Yes DeviceProtection-No internet service TechSupport Yes TechSupport-No internet service StreamingTV Yes Streaming TV-No internet service StreamingMovies Yes StreamingMovies-No internet service Contract-One year Contract-Two year PaperlessBilling-No Payment Method-Maled check Payment Method-Bank transfer (automatic) Payment Method Credit card (automatic) MonthlyCharges TotalCharges Constant DCoeff. -0.004 0.31 0.036 -0.078 -0.057 0.178 -0.087 0.265 1.478 -0.214 -0.348 -0.214 0.099 -0.214 0.11 -0.214 -0.212 -0.214 0.503 -0.214 0.556 -0.214 -0.659 -1.259 0.393 -0.331 -0.301 -0.525 -0.031 0 1.383

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Do the odds of churning increase or decrease when the internet service is Fiber optic as compared to DSL (reference level)? Show the calculation of the odds.

**Logistic Regression Coefficients and Statistics Table**

This table reflects the coefficients used in a logistic regression model, analyzed using a Logistic Regression Learner node. Each variable listed contributes to predicting the outcome of a dependent variable (not specified here). The coefficients (Coeff.) indicate the weight and direction of each predictor's influence. A positive coefficient suggests a direct relationship, while a negative coefficient implies an inverse relationship.

- **Row Descriptions:**
  - **gender=Male:** Coefficient of -0.004, indicating a very slight inverse effect.
  - **SeniorCitizen=1:** Coefficient of 0.31, showing a moderate direct relationship.
  - **Partner=No:** Coefficient of 0.036, suggesting a slight direct impact.
  - **Dependents=Yes:** Coefficient of -0.078, indicating a minor inverse effect.
  - **tenure:** Coefficient of -0.037, reflecting a slight inverse effect with the duration of tenure.
  - **PhoneService=Yes:** Coefficient of 0.178, small but positive relationship.
  - **MultipleLines=No:** Coefficient of -0.087, showing a small negative influence.
  - **MultipleLines=Yes:** Coefficient of 0.265, displaying a moderate direct influence.
  - **InternetService=Fiber optic:** Coefficient of 0.475, indicating a strong positive relationship.
  - **InternetService=No:** Coefficient of -0.214, showing a notable inverse effect.
  - **OnlineSecurity=No:** Coefficient of 0.318, a moderate positive relationship.
  - **OnlineSecurity=No internet service:** Coefficient of 0.099, a small positive relationship.
  - **OnlineBackup=Yes:** Coefficient of 0.214, moderate positive effect.
  - **OnlineBackup=No internet service:** Coefficient of 0.214, same effect as having the service.
  - **DeviceProtection=Yes:** Coefficient of 0.11, indicating a minor direct impact.
  - **DeviceProtection=No internet service:** Coefficient of 0.214, a consistent positive effect.
  - **TechSupport=Yes:** Coefficient of -0.051, indicating a slight inverse effect.
  - **TechSupport=No internet service:** Coefficient of 0.214, implying the same positive effect as having the service.
  - **StreamingTV
Transcribed Image Text:**Logistic Regression Coefficients and Statistics Table** This table reflects the coefficients used in a logistic regression model, analyzed using a Logistic Regression Learner node. Each variable listed contributes to predicting the outcome of a dependent variable (not specified here). The coefficients (Coeff.) indicate the weight and direction of each predictor's influence. A positive coefficient suggests a direct relationship, while a negative coefficient implies an inverse relationship. - **Row Descriptions:** - **gender=Male:** Coefficient of -0.004, indicating a very slight inverse effect. - **SeniorCitizen=1:** Coefficient of 0.31, showing a moderate direct relationship. - **Partner=No:** Coefficient of 0.036, suggesting a slight direct impact. - **Dependents=Yes:** Coefficient of -0.078, indicating a minor inverse effect. - **tenure:** Coefficient of -0.037, reflecting a slight inverse effect with the duration of tenure. - **PhoneService=Yes:** Coefficient of 0.178, small but positive relationship. - **MultipleLines=No:** Coefficient of -0.087, showing a small negative influence. - **MultipleLines=Yes:** Coefficient of 0.265, displaying a moderate direct influence. - **InternetService=Fiber optic:** Coefficient of 0.475, indicating a strong positive relationship. - **InternetService=No:** Coefficient of -0.214, showing a notable inverse effect. - **OnlineSecurity=No:** Coefficient of 0.318, a moderate positive relationship. - **OnlineSecurity=No internet service:** Coefficient of 0.099, a small positive relationship. - **OnlineBackup=Yes:** Coefficient of 0.214, moderate positive effect. - **OnlineBackup=No internet service:** Coefficient of 0.214, same effect as having the service. - **DeviceProtection=Yes:** Coefficient of 0.11, indicating a minor direct impact. - **DeviceProtection=No internet service:** Coefficient of 0.214, a consistent positive effect. - **TechSupport=Yes:** Coefficient of -0.051, indicating a slight inverse effect. - **TechSupport=No internet service:** Coefficient of 0.214, implying the same positive effect as having the service. - **StreamingTV
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