1.67 cups.
10 divided by 6, then round.
Answer:
ŷ = 0.1286X - 123.2175 ;
r = 0.947
r² = 0.896
Step-by-step explanation:
Given the data:
Traffic Flow, X : ____Vehicke speed ;Y()
1257 ______________36
1329 ______________45
1227 ______________30
1336 ______________50
1349 ______________55
1124 ______________ 25
The estimated regression equation using a linear regression calculator based on the data given above is given thus:
ŷ = 0.1286X - 123.2175
Where ;
y = dependent variable (vehicle speed)
x = predictor variable (traffic flow)
Slope = 0.1286
Intercept = 123.2175
The correlation Coefficient, R, obtained using the correlation Coefficient calculator is 0.9465, This depicts a very strong positive relationship between traffic flow and vehicle speed.
The Coefficient of determination, R² which is the squared value of the correlation Coefficient = 0.9465² = 0.8958 gives the proportion of explained variance ; This means about 89.5% of variation in Vehicle speed can be explained by the regression line.
Answer:
Property of Addition
Step-by-step explanation:
? ?? Hi so that doesn’t make sense
Step-by-step explanation:
if the two integers are x and y
x+y=11
xy= 24
x+24/x=11
x2-11x+24=0
(x-8)(x-3)=0
x =8 or x=3
if x=8,y=3
if x=3,y=8
so the two integers are 3 and 8