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A scatter plot of which two quantitative variables would most likely show a linear association?

1.height of a person and the person's grade in chemistry
2.time spent practicing and shots made
3.temperature and the number of days in school
4.weight of a person and their favorite number

Sagot :

Answer:

2. Time spend practicing and shots made

Explanation:

A linear association implies that if you a line will act as a function of best fit through data on a scatter plot as opposed to a function that curves.

The best way to determine if a scatter plot is best associated with a linear function, first ask yourself: "Is there a relationship at all between the independent variable and dependent variable?" If there is, picture a graph containing the lowest and highest data point. Draw a line between the two points. Does the graph make sense? If yes, then it is linear! If it doesn't, then it's not linear.

1: There is no relationship whatsoever between someone's weight and their grade in chem.

4. There is not relationship whatsoever between someone's weight and their favorite number.

3. There is a relationship between the temperature and the day of school. In the beginning and the end of school, it's going to be pretty hot. In the days of school from October to March, it's going to be pretty cold or warm.

Now, picture a graph containing the lowest data point (coldest temperature) and the highest data point (hottest temperature). Draw a line though it and ask: "Does this graph make sense?" No! Your though-up graph may show that as temperature increase, the days of school will also increase, but this is of course not true. *refer to 1st attachment. Temperatures are in Farenheit* The x-axis represents the temperature and the y-axis represents the day of school. The two red dots represent the lowest and highest temperatures. If the 100th day of school's in February, you can see that the graph doesn't depict this as it's showing that on the 100th day, it's 60 degrees F, even though February is really cold.

You can also think of it as picturing a graph containing the lowest data point (first day of school) and the highest data point (last day of school). Draw a line though it and ask: "Does this graph make sense?" No! Your though-up graph may show that as the days of school increase, temperatures increase. *refer to 2nd attachment. Temperatures are in Farenheit* The x-axis represents the day of school and the y-axis represents the temperature. The graph doesn't depict the relationship as it's showing that on the 100th day of school, it's about 60 degrees F.

All this happens immediately in your head, so don't worry if it looks complicated. All it's about is determining if there's a relationship between the independent and dependent variable, picturing a graph with the 2 lowest and highest data points and thinking, "Does this graph make sense?"

View image BladeiBoyy
View image BladeiBoyy
2. Time spent practicing and shots made
Because the time spent practicing would relate to how many shots are made
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