Respuesta :
Answer with explanation:
In a Line plot, we draw a number line, mark distinct variate on it.In front of each variate, we mark points to represent total frequency of each variate.
For, example :
A. When data changes over time, Suppose at time ,A,value of that thing was 3. at B,it was 5, at time C , it was 7,.......Mark , A, B and C,.. on number line and put three dots in front of A, 5 dots in front of B, 7 dots in front of C,....But Bar graph,or Histogram is best suited for this Model .
B.Suppose, Data set is not discrete
Data Frequency
1 3
2 4
3 6
4 8
5 4
6 12
..........................................
Make number line. Mark Data which are numbers, on the number line, and Represent frequency over each variate either by point or any other sign.
⇒Most Appropriate for Line Plot.
C:
Categorical Heading Frequency
A 4
AB 5
ABC 8
A CD 12
Draw a Number line,Instead of marking numbers, mark heading at equal Distances and represent frequency through any Sign, above each Categorical Data.
⇒Appropriate for Line Plot but bar graph most suited.
D:
You need frequency , along data .So, alone Data is not sufficient for , Line plot.
⇒≡Option B and Option C, are best suited for line Plot.
Going with→ Option B
⇒Data that is spread out over a large range of numbers frequency.
Answer:By the first one I'm thinking that It's C (If your doing Edgeuity)
Step-by-step explanation:
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