The appropriate form for graphing the relationship between temperature in degrees Fahrenheit and number of daily steps recorded on a fitness tracker would be a Scatterplot.

Here's why:

1. A scatterplot is used to represent a set of data points obtained by measuring two variables for each individual in a sample or population. In this case, the two variables are temperature and number of daily steps.

2. Scatterplots are ideal for showing relationships between two variables, especially when looking for trends, clusters, or outliers.

3. In this case, each point on the scatterplot would represent a day, with the temperature for that day on one axis and the number of steps taken on that day on the other axis.

4. By plotting the data in this way, you can visually examine the relationship between temperature and physical activity. For example, you might see that as temperature increases, the number of steps also increases, suggesting that people are more active on warmer days.

5. The other graph forms mentioned (Histogram, Frequency polygon, Bar graph) are not as suitable for this type of data. Histograms and frequency polygons are used for displaying the distribution of a single variable, while bar graphs are typically used for comparing categories of data.

Question

The appropriate form for graphing the relationship between temperature in degrees Fahrenheit and number of daily steps recorded on a fitness tracker would be a Scatterplot.

Here's why:

1. A scatterplot is used to represent a set of data points obtained by measuring two variables for each individual in a sample or population. In this case, the two variables are temperature and number of daily steps.

2. Scatterplots are ideal for showing relationships between two variables, especially when looking for trends, clusters, or outliers.

3. In this case, each point on the scatterplot would represent a day, with the temperature for that day on one axis and the number of steps taken on that day on the other axis.

4. By plotting the data in this way, you can visually examine the relationship between temperature and physical activity. For example, you might see that as temperature increases, the number of steps also increases, suggesting that people are more active on warmer days.

5. The other graph forms mentioned (Histogram, Frequency polygon, Bar graph) are not as suitable for this type of data. Histograms and frequency polygons are used for displaying the distribution of a single variable, while bar graphs are typically used for comparing categories of data.

Knowee AI · Accepted Answer

The appropriate form for graphing the relationship between temperature in degrees Fahrenheit and number of daily steps recorded on a fitness tracker would be a Scatterplot.

Here's why:

1. A scatterplot is used to represent a set of data points obtained by measuring two variables for each individual in a sample or population. In this case, the two variables are temperature and number of daily steps.

2. Scatterplots are ideal for showing relationships between two variables, especially when looking for trends, clusters, or outliers.

3. In this case, each point on the scatterplot would represent a day, with the temperature for that day on one axis and the number of steps taken on that day on the other axis.

4. By plotting the data in this way, you can visually examine the relationship between temperature and physical activity. For example, you might see that as temperature increases, the number of steps also increases, suggesting that people are more active on warmer days.

5. The other graph forms mentioned (Histogram, Frequency polygon, Bar graph) are not as suitable for this type of data. Histograms and frequency polygons are used for displaying the distribution of a single variable, while bar graphs are typically used for comparing categories of data.

Which of these graph forms is appropriate for graphing the relationship between temperature in degrees Fahrenheit and number of daily steps recorded on a fitness tracker? 1 pointHistogramScatterplotFrequency polygonBar graph

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