Answer:
Check the explanation
Step-by-step explanation:
(a)
P-value of income and size is 0.0003 and 0.0001 respectively. Both are less than 0.05 level of significance. So these are significant ot the model. Option D is correct.
(b)
The model is
House_size = -1.6335+0.4485*income + 4.2615*family_size -0.6517*school
Here we have income = 85600/1000 = 85.6
family_size = 6
school = 13
So the predicted house size is
House_size = -1.6335+0.4485*85.6 + 4.2615*6 -0.6517*13=53.855
the predicted house size (in hundreds of square feet) is 53.86. hence, option B is correct.
3)
Here we have income = 100000/1000 = 100
family_size = 10
school = 16
So the predicted house size is
House_size = -1.6335+0.4485*100 + 4.2615*10 -0.6517*16=75.40
Residual : observed value- predicted value = 70 - 75.40 = -5.40
Option C is correct.
Just keep adding the numbers till they are even so in the case you have 11 15 19 23 27 31 35 39 43 47 for joy and 15 18 21 24 27 30 33 36 39 41 44 47. so they both earned 47 dollars and joy worked 10 hours and steve worked 12 hours
You would first find 14%of 456 and then the answer you get take it away from 456 and that would be your answer
Answer- 392.16
the slope of the given line is 2/3. The slope of a line perpendicular to this given line is the negative reciprocal of 2/3, or -3/2.
The line passes thru (6,4). We can immediately write the desired equation as follows:
y - 4 = (-3/2)(x-6). This could, of course, be written differently:
y = 4 - (3/2)x + 9, or y = (-3/2)x + 9 (in slope-intercept form).
