id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
issue-858	Velychko, Volodymyr; Grytskov, Evgeniy; Prunenko, Dmytriy	ECONOMIC AND MATHEMATICAL MODELING OF INVESTMENT ATTRACTIVENESS OF CONSTRUCTION ENTERPRISES IN THE SYSTEM OF STAKEHOLDER RELATIONS	2020	10	.pdf	application/pdf	6510	342	30	i i n i i n i = −( ) −( ) −( ) −( ) = = = ∑ ∑ ∑ � 1 1 2 1 2 , where Xi , Yi are the values between which relationships are established (an integrated indicator of investment attractiveness and an integrated indicator of the level of stakeholder relations of construction enterprises); X , Y are the average values of integrated indicators Determination coefficient ( R2 ) R R2 = Student’s t-test t M M m m = − + � 1 2 1 2 2 2 , where M1 , M 2 are the arithmetic average values of integrated indicators of the level of stakeholder relations and investment attractiveness of construction enterprises; m1 , m2 are the values of statistical errors of integrated indicator arithmetic average Fisher’s F-test F R R x n m m = − − −( ) � � 2 21 1 , where n is the number of observations regarding integrated indicators of stakeholder relations and investment attractiveness levels Homo or heteroskedasticity test criteria are determined by Goldfeld-Quandt, Glacier models, by μ-criterion Durbin-Watson test (DW) the Durbin-Watson test is determined (DW): DW e e e i i i = ∑ −( ) ∑ −1 2 2 , where e ei i, � −1 are the remains of integrated indicators of the of stakeholder relations and investment attractiveness levels Multicollinearity Test Criteria the level of influence of one independent variable on another independent variable is estimated by the corresponding pair correlation coefficient Baltic Journal of Economic Studies 63 Vol. 6, No. 4, 2020 5.	cache/issue-858.pdf	txt/issue-858.txt