The volume of a rectangular prism is the product of length, width, and height.
V = LWH
V = (2.25 ft)(6 ft)(3.50 ft)
V = 47.25 ft³ = 47 1/4 ft³
Answer:
Option I
Step-by-step explanation:
Given that for families who live in apartments the scatterplot of the family’s income and the amount of rent they pay is approximately linear with a correlation of r = 0.60.
This implies that there is a positive association between income and rent paid.
Also since r is greater than 0.5, we can say that there is a moderately strong correlation.
All these can be interpreted as if income goes high, rent also would be higher.
The rise in rent due to income would be 0.6^2 =36% only
The regression line need not pass through 60% of income rent data points but it passes through average of the data points.
Hence only option I is right.
Answer:
LCM of (2,8,4,3) = 24.
Multiply through by 24.
24[(x–5)/2] + 24[(x–1)/8] = 24[(x–3)/4] +24[(x–4)/3]
12(x–5) + 3(x–1) = 6(x–3) + 8(x–4)
12x – 60 + 3x – 3 = 6x – 18 + 8x – 32
12x + 3x – 6x – 8x = –18 – 32 + 3 + 60
x = 13✅
Answer: Justin dirty laundry was reduced by 74. 18%
Step-by-step explanation:
Step 1
Total amount of clothes = 124 pieces
Number of clothes reduced to = 32 pieces
To find the amount of the reduction, We will first Subtract the number reduced to from the initial amount of clothes giving us
Amount of reduction = 124- 32 =92 pieces of clothes
Step 2---Then we Divide the amount of the reduction of the clothes by the total amount of clothes to find the rate of reduction, giving us
Rate of reduction = 92/124 = 0.741
Step 3--- we finally Multiply the rate of reduction of clothes by 100 to find the percentage reduction.
0.741 x 100 = 74. 18%
It has to be C heads- tails -3 I'm not sure it kind makes sense to me