To analyze the relationship between the number of pieces and assembly time, Bruce can create a scatter plot with pieces on the x-axis and assembly time on the y-axis. This will help him see if there is a correlation between the two variables.
After plotting the data points, Bruce can also calculate the correlation coefficient to quantify the strength and direction of the relationship between the number of pieces and assembly time. This will give him a better understanding of how changes in the number of pieces affect the assembly time.
Additionally, Bruce can use the data to create a regression model to predict the assembly time for the new model airplane based on the number of pieces it has. This will give him an estimate of how long it might take to assemble the new model based on the patterns in his existing data.
By analyzing his data in these ways, Bruce can make a more informed decision about how long assembly might take for the new model airplane he is considering purchasing.
Bruce keeps detailed information about his model airplane collection. The data includes not only the characteristics of each model, but also the time it took to assemble it. He is thinking of buying a new model airplane and decided to look at this information to understand how long assembly might take.
From his data, Bruce found the number of pieces in each model, x, and how many minutes each took to assemble, y.
Pieces - Assembly time
45 - 30
46 - 33
67 - 37
70 - 39
90 - 52
1 answer
1 answer