The difference based on the numbers given is -80.
<h3>How to compute the difference?</h3>
The information given illustrates that the difference will be:
= (9 - 1) - (43) - (2 - 3) - 50
= 8 - 43 - (-1) - 50
= 8 - 43 + 1 - 50
= -80
Therefore, the difference or subtraction among the numbers given is -80.
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Hello,
Area under the curve is 1.
So p(x>5)=1-p(x<5)=1-0.0625=0.9375
Answer A
Another way to put 6/7 - 1/8 is 48/56- 7/56 since the LCM of 7 and 8 is 56 (if you don’t know what that is I can explain it) sorta like subtraction you subtract both numerators (48 and 7 or 48-7) which gives you 41 then you put the denominator (56) below that. So in other words it equals 41/56
Answer:
Residual = 11.462
Since the residual is positive, it means it is above the regression line.
Step-by-step explanation:
The residual is simply the difference between the observed y-value which is gotten from the scatter plot and the predicted y-value which is gotten from regression equation line.
The predicted y-value is given as 20.7°
The regression equation for temperature change is given as;
y^ = 9.1 + 0.6h
h is the observed amount of humidity and it's given to be 23 percent or 0.23.
Thus;
y^ = 9.1 + 0.6(0.23)
y^ = 9.238
Thus:
Residual = 20.7 - 9.238
Residual = 11.462
Since the residual is positive, it means it is above the regression line.
Answer:
Multiply 6 x 4 then add 10
or do the other way around
Step-by-step explanation:
