Microsoft AI-900 Microsoft Azure AI Fundamentals 10 31Oct2024 - Practice Quiz

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Question 1 of 26

A data scientist is analyzing the relationship between the number of hours studied and the scores achieved by students in a mathematics exam. After collecting the data, they decide to use linear regression to model this relationship. The regression equation obtained is given by \\( y = 5 + 2x \\), where \\( y \\) represents the exam score and \\( x \\) represents the number of hours studied. If a student studies for 3 hours, what would be the predicted score? Additionally, if the data shows a high R-squared value of 0.85, what does this imply about the model\'s effectiveness?

The predicted score is 11, and the high R-squared value indicates a strong relationship between hours studied and exam scores.

The predicted score is 11, but the high R-squared value suggests a weak relationship between the variables.

The predicted score is 8, and the high R-squared value indicates a strong relationship between hours studied and exam scores.

The predicted score is 8, but the high R-squared value suggests a weak relationship between the variables.

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