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.No.1 '0 Run a bivariate regression with 'visits' as the dependent variable and 'nature' as the independent variable. The null hypothesis (HO) should be: there is no impact of visitsature nature Q; on visitsatu re _ 15/ Conduct the test of hypothesis to see whether or not there is an impact. Based on the results, there is an impacto impact 45/ because H0 is rejected/failed to be rejected greate r rejected 13/ It is for the reason that p- value on t-test of regression coefficient is less/greater 6/ than the level of significance [0.05). Let's interpret R-square. The value of R-square indicates that a [use one decimal point) 15/ percent variation in