Answer:
see explanation
Step-by-step explanation:
to find the first 4 terms substitute n = 1, 2, 3, 4 into the sequence rule
to find the 10th term substitute n = 10 into the rule
(a)
a₁ = 1² + 3 = 1 + 3 = 4
a₂ = 2² + 3 = 4 + 3 = 7
a₃ = 3² + 3 = 9 + 3 = 12
a₄ = 4² + 3 = 16 + 3 = 19
a₁₀ = 10² + 3 = 100 + 3 = 103
(b)
a₁ = 2(1)² = 2(1) = 2
a₂ = 2(2)² = 2(4) = 8
a₃ = 2(3)² = 2(9) = 18
a₄ = 2(4)² = 2(16) = 32
a₁₀ = 2(10)² = 2(100) = 200
Answer:
y=3
Step-by-step explanation:
Answer:
C.
Step-by-step explanation:
❌Option A is incorrect
Rationale: from the graph, 1 hr on the x-axis doesn't correspond to $100 on the y-axis
❌Option B is incorrect
Rationale: from the graph, 2 hrs on the x-axis doesn't correspond to $200 on the y-axis. It can't also be the unit rate because unit rate would be the amount of dollars per 1 hr.
✅Option C is CORRECT
Rationale: from the graph, 8 hrs on the x-axis corresponds to $500 on the y-axis
❌Option D is incorrect
Rationale: from the graph, 4 hr on the x-axis doesn't correspond to $300 on the y-axis
Answer:
B. No, because while there is no linear correlation, there may be a relationship that is not linear.
Step-by-step explanation:
Relationships between variables are diverse and fitted model of a dataset for each of the models will usually differ. That is the lebl of association between variables for a linear model may differ and better than a quadratic model or an exponential may perform. For r = 0 ; this means no relationship exists between the variables, however , this is the information for the linear model, which clearly depicts that no assicitio exist for the linear fit. A model change could result in a differ and slightly or highly correlated R value.
Answer:
x = 3
y = 0
Step-by-step explanation:
4(3) + 7(0) = 12
-8(3) - 14(0) = -24
