the conditional relative frequency table below was generated by column using frequency table data comparing…

the conditional relative frequency table below was generated by column using frequency table data comparing the number of calories in a meal to whether the meal was prepared at home or at a restaurant. number of calories and location of meal preparation\n| | home | restaurant | total |\n|≥ 500 calories|0.15|0.55|0.28|\n|< 500 calories|0.85|0.45|0.72|\n|total|1.0|1.0|1.0|\na nutritionist attempts to determine an association between where food is prepared and the number of calories the food contains. which is most likely true?\nan association cannot be determined because the value 0.55 is similar to the value 0.45.\nthere is an association because the value 0.15 is not similar to the value 0.55.\nthere is an association because the sum of each column is 1.0.\nan association cannot be determined because the sum of the rows going across is not 1.0.

the conditional relative frequency table below was generated by column using frequency table data comparing the number of calories in a meal to whether the meal was prepared at home or at a restaurant. number of calories and location of meal preparation\n| | home | restaurant | total |\n|≥ 500 calories|0.15|0.55|0.28|\n|< 500 calories|0.85|0.45|0.72|\n|total|1.0|1.0|1.0|\na nutritionist attempts to determine an association between where food is prepared and the number of calories the food contains. which is most likely true?\nan association cannot be determined because the value 0.55 is similar to the value 0.45.\nthere is an association because the value 0.15 is not similar to the value 0.55.\nthere is an association because the sum of each column is 1.0.\nan association cannot be determined because the sum of the rows going across is not 1.0.

Answer

Answer:

There is an association because the value 0.15 is not similar to the value 0.55.

Explanation:

Step1: Understand conditional relative frequency

Conditional relative frequency shows relationship in data.

Step2: Analyze values

If values for same - category (calorie level) but different locations (home/restaurant) are very different, there is an association. Here, for $\geq500$ calories, 0.15 (home) and 0.55 (restaurant) are quite different, indicating an association between meal - preparation location and calorie number.