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Questions and Answers
Linear regression can be used by a sales manager to predict product demand based on customers' annual salary.
Linear regression can be used by a sales manager to predict product demand based on customers' annual salary.
True
A customer with a salary above a certain value is more likely to buy a particular product according to the text.
A customer with a salary above a certain value is more likely to buy a particular product according to the text.
False
Using linear regression, one can predict the actual price of kids' shirts as a function of a given year.
Using linear regression, one can predict the actual price of kids' shirts as a function of a given year.
True
Regression models are not useful for improving business processes according to the text.
Regression models are not useful for improving business processes according to the text.
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An optimal number of team members can be determined using a regression model according to the text.
An optimal number of team members can be determined using a regression model according to the text.
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Using a regression model, it's possible to conclude that employees with names starting with the letter S are the best performers.
Using a regression model, it's possible to conclude that employees with names starting with the letter S are the best performers.
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Linear regression models can only be run effectively with small data sets.
Linear regression models can only be run effectively with small data sets.
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Regression models are primarily used for historical data analysis and have no predictive capabilities.
Regression models are primarily used for historical data analysis and have no predictive capabilities.
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Using regression models, it's possible to predict future values based on historical data trends.
Using regression models, it's possible to predict future values based on historical data trends.
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The search bar text 'Search the Blog' in Version C led to the highest usage rate in the A/B testing conducted by HubSpot.
The search bar text 'Search the Blog' in Version C led to the highest usage rate in the A/B testing conducted by HubSpot.
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A smaller p-value indicates weaker evidence in favor of the alternative hypothesis.
A smaller p-value indicates weaker evidence in favor of the alternative hypothesis.
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If the p-value is below 0.05, you reject the null hypothesis in favor of the alternative.
If the p-value is below 0.05, you reject the null hypothesis in favor of the alternative.
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The data from the A/B testing concluded that customers preferred Version B of the search bar with text 'Search by Topic' for better results.
The data from the A/B testing concluded that customers preferred Version B of the search bar with text 'Search by Topic' for better results.
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A common significance level for rejecting the null hypothesis is 0.05.
A common significance level for rejecting the null hypothesis is 0.05.
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