Question

question 3
a group of friends collects data on how many hours they practiced a new dance routine over the weekend and how many likes their dance video received on a social media app. when they plot the data on a scatterplot, the points trend upward from left to right.
what does this pattern most likely suggest about the relationship between practice time and video likes?
there is no relationship between how long they practiced and how many likes they got.
more time spent practicing is generally associated with more video likes.
videos always get more likes if the dancers practiced longer.
practice time causes the app to give the video a better score.
question 4
a scatterplot shows the relationship between number of text messages sent per day and data usage in megabytes for 12 students.
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Explanation:

A scatter - plot with points trending upward from left to right indicates a positive correlation. A positive correlation means that as one variable (practice time) increases, the other variable (video likes) also tends to increase.

• Option 1: "There is no relationship..." is incorrect because the upward trend shows a relationship.
• Option 2: "More time spent practicing is generally associated with more video likes" is correct as it aligns with the concept of a positive correlation (general association, not a guarantee).
• Option 3: "Videos always get more likes..." is incorrect. A scatter - plot with an upward trend shows a tendency, not an absolute rule ("always").
• Option 4: "Practice time causes...". A scatter - plot shows correlation, not causation. Just because there is a positive correlation between practice time and likes doesn't mean practice time causes the app to give a better score. There could be other factors (e.g., skill improvement from practice making the video better, which might be the real reason for more likes, not a direct "app score" causation).

Answer:

More time spent practicing is generally associated with more video likes.