During its manufacture, a product is subjected to four different tests in sequential order. an efficiency expert claims that the fourth (and last) test is unnecessary since its results can be predicted based on the first three tests. to test this claim, multiple regression will be used to model test4 score (y), as a function of test1 score (x1), test2 score (x2), and test3 score (x3). [note: all test scores range from 200 to 800, with higher scores indicative of a higher quality product.] consider the model: the global f statistic is used to test the null hypothesis, h0: β1 = β2 = β3 = 0. describe this hypothesis in words. a. the model is statistically useful for predicting test4 score. b. the first three test scores are lousy predictors of test4 score. c. the model is not statistically useful for predicting test4 score. d. the first three test scores are useful predictors of test4 score.

c.   x=2.4cm

step-by-step explanation:

similar triangles are triangles which have the same shape but not the same size. this means their angle measures are equal but their side lengths are not instead they are proportional. to solve, we will set up a proportion and solve.

a proportion is two equal ratios set equal to each other. we form the ratios by finding corresponding sides (sides which match to each other on both triangles by their position). out ratios will be one side of the small triangle over the corresponding side on the big triangle as shown below:

.

to solve the proportion, we'll cross multiply by multiplying numerator with denominator across the equal sign.

ion

step-by-step explanation:

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hi there!

first we need to find out how much they are adding to each number to make the next number.

ex: 4 + 4 = 8, 8 + 8 = 16, and so on.

so continuing with 32,

32 + 32 = 64

64 + 64 = 128

128 + 128 = 256

256 + 256 = 512

4, 8, 16, 32, 64, 128, 256, 512

the 8th term of the sequence will be 512

hope this ! ~