<span>scott's method is linear because the number of minutes increased by an equal number every week. Because he increased each week by 5 minutes while Harry increased by a different amount of time each week</span>
Yes you are but Id suggest writing just a bit clearer, so your teacher doesnt misread your answers!
I think the correct answer would be B. If the residuals for brand A form an increasing curve, and the residuals for brand B form a U-shaped pattern, then neither of the data is likely to be linear. In order to be linear, the residuals of both data set should be, more or less, linear or approaching linearity in nature. Therefore, the linear regression that was done would not give good results since it is only applicable to linear data sets. Also, you can say that the relation of the data sets of the products are not linear. It would be best to do a curve fitting for both sets by using different functions like parabolic functions.
Answer:
4356
Step-by-step explanation:
<u><em>Don't be a baka</em></u>
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First, find the area of the rectangular paper: 104 × 88 = 9152 cm²
Since we want to find the number of the largest square that we can cut from the paper, we need to investigate if there's any square number is the factor of 9152
We can use the prime factor tree to find the factors of 9152 that is also a square number as shown below
9152 = 2 × 2 × 2 × 2 × 2 × 2 × 11 × 13
after trying few combinations, we have:
2 × 2 × 2 × 2 = 16
2 × 2 × 2 × 2 × 2 × 2 = 64
The largest square number is 64, and we will have 9152 ÷ 64 = 143 squares of papers