Complete question :
The table shows data collected on the relationship between time spent playing video games and time spent with family. The line of best fit for the data is ý = -0.36x + 94.5.
Video Games (Minutes) Time with Family (Minutes)
40 80
55 75
70 69
85 64
A) According to the line of best fit, the predicted number of minutes spent with family for someone who spent 36 minutes playing video games is 81.54.
B) Is it reasonable to use this line of best fit to make the above prediction?
Answer:
81. 54
4) The estimate, a predicted time of 81.54 minutes, is both reliable and reasonable.
Step-by-step explanation:
Given that :
The equation of best fit is defined as :
ý = -0.36x + 94.5.
A.) Predicted number of minutes spent with family (y) for someone who spends 36 minutes playing games (x) will be :
x = 36
From the model :
ý = -0.36(36) + 94.5
y = - 12.96 + 94.5
y = 81.54
Hence.nunber of minutes spent with family = 81.54 minutes.
B.) The correlation Coefficient for the model is - 0.9993, which indicates a very strong negative relationship between both variables. Hence, using this fact, we can conclude that the prediction is reliable. From the data also, spending 36 minutes playing games means such individual will have more time than someone who plays games for 40 minutes, hence, the prediction is also reasonable.
Answer:
3 ihink t
Step-by-step explanation:
Answer:
0.32 and 8/25.
Step-by-step explanation:
Hope this is what you were looking for! Have a nice evening and good luck!!
Answer:
440 students.
Step-by-step explanation:
Given is a table showing the results of a survey.
No of people surveyed = n (say)
No of people who prefer pop music = (5/8) n
(Since given in the table proportion for pop music = 5/8)
But actual studdents who prefer pop music =275
In other words
5n/8 = 275
Cross multiply to solve
5n=2200
divide by 5
n= 440
Thus total people surveyed= 440
Verify:
No of students who prefer Pop music = 440(5/8) = 55(5) = 275
Thus verified
Answer: I think A
Explanation: I’m not quite sure but I believe it’s A
